Every Markdown Conversion

One door for every format the engine has actually been tested on. Drop a file, pick a target, get it back clean. Documents, images, audio, video, ebooks, subtitles, archives, fonts, data files and bibliographies.

Upload a PDF and get editable Markdown for notes, documentation or an AI chat. Text-based PDFs and scanned pages use the same conversion panel. Sign in with a free account, convert with credits, then check the result before using it.

Paste raw text and get clean, well-structured Markdown back. Headings, lists, quotes, tables and links are detected automatically.

Turn a Word document into an editable .md file. DOCX text is converted in your browser; DOC, RTF, ODT and Pages files first go through server conversion. Sign in, use credits and review the result before moving it into your notes or documentation.

Drop a video file or paste a link and get a clean Markdown transcript, written in punctuated sentences, ready to paste into your AI chat.

Paste a YouTube link and get a clean Markdown transcript of what is said, in punctuated sentences under the video title. Free account, nothing to install.

Paste a TikTok link and get the full spoken transcript back as clean Markdown. No download, no screen recording, no retyping what the captions show.

Upload any audio file and get a clean Markdown transcript, one paragraph per segment, with optional timestamps and SRT or VTT subtitles to download.

Paste a URL and get a clean Markdown version of the page: boilerplate stripped, main content preserved. Crawl a whole site from its start page.

Drop in a rough prompt and get a polished, structured version, with the task, constraints and output format spelled out for ChatGPT, Claude, and Gemini.

Upload an Excel file and get clean Markdown tables, one per sheet. Formula results, number formats and dates come through as values you can read.

Turn presentations into structured Markdown: slide titles, bullets, tables, chart data and speaker notes, slide by slide.

Upload a screenshot, scan or photo and extract its visible text as editable Markdown. The OCR can format headings, lists, tables and code in the image's original language. Sign in with a free account and use credits for each image.

Upload an EPUB and get a structured Markdown ebook, with chapters, sections, footnotes, and inline formatting preserved.

Paste Markdown to tidy prose blank lines and heading spacing while preserving code, nested lists and hard line breaks.

Paste Markdown or drop a .md file to create an A4 PDF with selectable, searchable text. Generation runs on the server with a fixed layout. Sign in with a free account, use credits and download the PDF.

Select several Markdown files and merge them into one document. Each file gets a heading with its name, and a separator of your choice goes between files.

Split large texts into fixed-size chunks for embeddings and RAG, with a chunk size and an overlap you set in tokens.

Paste text and get an estimated token count and input cost for 16 models from OpenAI, Anthropic, Google, DeepSeek, xAI and Meta, side by side.

Pick your files, add an optional system prompt, and get one block to paste into your AI chat, with every file wrapped in a tag that carries its name.

Describe your AI assistant in plain English and get back a structured system prompt in Markdown, with role, instructions, output format, tone, constraints and edge cases.

Translate Markdown into 25 languages while keeping every heading, list, link, code block, and table in place, and get a warning if one moved.

Simple, transparent pricing. Every account gets 50 free credits per month; upgrade or grab a one-time credit pack when you need more. No hidden fees.

Paste Markdown or drop a .md file and download a clean A4 PDF, with a free account. No watermark, nothing to install, and the PDF contains selectable text.

Drop a Markdown file and get a complete HTML page back, with headings, lists, tables, code blocks and links turned into clean semantic tags. Open it in a browser, paste it into a CMS, or publish it as it is.

Turn a Markdown file into a clean HTML page with a free account. Nothing to install and nothing added to your output: drop the .md file, download the .html.

Drop a Markdown file and get an editable Word document back. Headings become Word heading styles, lists stay lists and tables become real Word tables, so the file opens cleanly for readers who never use Markdown.

Convert a Markdown file to an editable Word document with a free account. No watermark and no software to install: drop the .md file, download the .docx.

Convert DOCX to PDF in your browser. LibreOffice does the work, 1.2s on the probe file. The layout is exact and the structure is gone.

Convert DOC to PDF in your browser. LibreOffice does the work, 1.1s on the probe file. The layout is exact and the structure is gone.

Convert XLSX to PDF in your browser. LibreOffice does the work, 1.1s on the probe file. The layout is exact and the structure is gone.

Convert XLS to PDF in your browser. LibreOffice does the work, 1.0s on the probe file. The layout is exact and the structure is gone.

Convert PPTX to PDF in your browser. LibreOffice does the work, 1.2s on the probe file. The layout is exact and the structure is gone.

Convert PPT to PDF in your browser. LibreOffice does the work, 1.1s on the probe file. The layout is exact and the structure is gone.

Convert ODT to PDF in your browser. LibreOffice does the work, 1.1s on the probe file. The layout is exact and the structure is gone.

Convert ODS to PDF in your browser. LibreOffice does the work, 1.1s on the probe file. The layout is exact and the structure is gone.

Convert ODP to PDF in your browser. LibreOffice does the work, 1.3s on the probe file. The layout is exact and the structure is gone.

Convert RTF to PDF in your browser. LibreOffice does the work, 1.1s on the probe file. The layout is exact and the structure is gone.

Convert CSV to PDF in your browser. LibreOffice does the work, 1.0s on the probe file. The layout is exact and the structure is gone.

Convert EPUB to PDF in your browser. calibre does the work, 1.9s on the probe file. calibre reflows first, so the page breaks are its own.

Convert MOBI to PDF in your browser. calibre does the work, 1.9s on the probe file. calibre reflows first, so the page breaks are its own.

Convert AZW3 to PDF in your browser. calibre does the work, 1.8s on the probe file. calibre reflows first, so the page breaks are its own.

Convert HTML to PDF in your browser. calibre does the work, 1.9s on the probe file. calibre reflows first, so the page breaks are its own.

Convert TXT to PDF in your browser. calibre does the work, 1.8s on the probe file. calibre reflows first, so the page breaks are its own.

Convert JPG to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. One page, and the words inside stay pixels.

Convert PNG to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert WEBP to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert TIFF to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert SVG to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert HEIC to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert HEIC to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert PNG to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert WEBP to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert PDF to JPG in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert GIF to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert BMP to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. JPG is lossy, so the artefacts never come out again.

Convert TIFF to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert AVIF to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert SVG to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert PSD to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert ICO to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert HEIC to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert JPG to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert WEBP to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert SVG to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert GIF to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert BMP to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert TIFF to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PDF to PNG in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert AVIF to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PSD to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert ICO to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PDF to DOCX in your browser. calibre does the work, 0.9s on the probe file. A scanned PDF has no text layer to read.

Convert EPUB to DOCX in your browser. pandoc does the work, 0.1s on the probe file. Headings stay headings, styling goes default.

Convert ODT to DOCX in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert RTF to DOCX in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert HTML to DOCX in your browser. pandoc does the work, 0.1s on the probe file. Headings stay headings, styling goes default.

Convert TXT to DOCX in your browser. pandoc does the work, 0.1s on the probe file. Headings stay headings, styling goes default.

Convert MOV to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to MP4 in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to MP4 in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert M4V to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WAV to MP3 in your browser. ffmpeg does the work, 0.2s on the probe file. MP3 is lossy, so this pass only goes one way.

Convert M4A to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert OGG to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert FLAC to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. MP3 is lossy, so this pass only goes one way.

Convert WMA to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert AAC to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert MP4 to MP3 in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MOV to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert HTML to MD in your browser. pandoc does the work, under 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert ODT to MD in your browser. pandoc does the work, 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert RTF to MD in your browser. pandoc does the work, under 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert TEX to MD in your browser. pandoc does the work, 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert RST to MD in your browser. pandoc does the work, 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert IPYNB to MD in your browser. pandoc does the work, 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert DOC to DOCX in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert XLS to XLSX in your browser. LibreOffice does the work, 1.0s on the probe file. Still editable, and the page breaks may move.

Convert PPT to PPTX in your browser. LibreOffice does the work, 1.2s on the probe file. Still editable, and the page breaks may move.

Convert XLSX to ODS in your browser. LibreOffice does the work, 1.2s on the probe file. Still editable, and the page breaks may move.

Convert ODS to XLSX in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert XLSX to CSV in your browser. LibreOffice does the work, 1.1s on the probe file. The content, and deliberately nothing else.

Convert CSV to XLSX in your browser. LibreOffice does the work, 1.0s on the probe file. Nothing to lose, but the types are guessed.

Convert CSV to ODS in your browser. LibreOffice does the work, 1.1s on the probe file. Nothing to lose, but the types are guessed.

Convert DOCX to ODT in your browser. LibreOffice does the work, 1.2s on the probe file. Still editable, and the page breaks may move.

Convert RTF to ODT in your browser. LibreOffice does the work, 1.2s on the probe file. Still editable, and the page breaks may move.

Convert PPTX to ODP in your browser. LibreOffice does the work, 1.5s on the probe file. Still editable, and the page breaks may move.

Convert ODP to PPTX in your browser. LibreOffice does the work, 1.4s on the probe file. Still editable, and the page breaks may move.

Convert DOCX to TXT in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert DOC to HTML in your browser. LibreOffice does the work, 1.1s on the probe file. A web page, so no pages and no margins.

Convert XLSX to HTML in your browser. LibreOffice does the work, 1.1s on the probe file. A web page, so no pages and no margins.

Convert PPTX to HTML in your browser. LibreOffice does the work, 1.5s on the probe file. A web page, so no pages and no margins.

Convert AVI to MP3 in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MKV to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert WEBM to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert WMV to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert FLV to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MPG to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert 3GP to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert TS to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert HEIF to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert HEIF to PNG in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert TTF to WOFF2 in your browser. fontTools does the work, 2.8s on the probe file. Smaller, and no longer installable.

Convert WOFF2 to TTF in your browser. fontTools does the work, 0.8s on the probe file. Installable again, and two to three times heavier.

Convert OTF to TTX in your browser. fontTools does the work, 0.3s on the probe file. Readable XML, sixteen times the size.

Convert 7Z to ZIP in your browser. Python does the work, under 0.1s on the probe file. Opens anywhere, and weighs more for it.

Convert TGZ to ZIP in your browser. Python does the work, under 0.1s on the probe file. Opens anywhere, and weighs more for it.

Convert ZIP to 7Z in your browser. Python does the work, under 0.1s on the probe file. Smaller, and slower to make than you think.

Convert TGZ to TAR in your browser. Python does the work, under 0.1s on the probe file. No compression at all, and that is the point.

Convert CSV to JSON in your browser. Python does the work, under 0.1s on the probe file. Nothing lost, and every value arrives as text.

Convert JSON to CSV in your browser. Python does the work, under 0.1s on the probe file. Flat records only, and every type becomes text.

Convert JSON to YAML in your browser. Python does the work, under 0.1s on the probe file. The whole structure, minus your comments.

Convert YAML to JSON in your browser. Python does the work, under 0.1s on the probe file. The whole structure, minus your comments.

Convert SRT to VTT in your browser. ffmpeg does the work, 0.1s on the probe file. The same cues, in the container browsers read.

Convert VTT to ASS in your browser. ffmpeg does the work, 0.1s on the probe file. Room for styling, none of it invented.

Convert SRT to LRC in your browser. ffmpeg does the work, 0.1s on the probe file. Only the starts survive, by design. We name what is kept and dropped.

Convert LRC to SRT in your browser. ffmpeg does the work, 0.1s on the probe file. The end times are the engine guess, not yours.

Convert RIS to BibTeX in your browser. pandoc does the work, under 0.1s on the probe file. The citation keys are ours, not yours.

Convert EndNote XML to CSL JSON in your browser. pandoc does the work, under 0.1s on the probe file. The citation keys are ours, not yours.

Convert BibTeX to BibLaTeX in your browser. pandoc does the work, under 0.1s on the probe file. Same references, the other vocabulary.

Convert MD to AsciiDoc in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert DOCX to ICML in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert DOCX to JATS in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert EPUB to MOBI in your browser. calibre does the work, 0.7s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert MOBI to EPUB in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert AZW3 to EPUB in your browser. calibre does the work, 0.7s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert EPUB to AZW3 in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert PDF to EPUB in your browser. calibre does the work, 0.9s on the probe file. A scanned PDF has no text layer to read.

Convert PNG to WEBP in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert JPG to WEBP in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PNG to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert PNG to AVIF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PNG to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PNG to HEIC in your browser. ImageMagick does the work, under 0.1s on the probe file. HEIC is lossy, so the artefacts never come out again.

Convert PNG to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert CSV to MD in your browser. pandoc does the work, 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert JSON to MD in your browser. pandoc does the work, under 0.1s on the probe file. Tables are rebuilt in Markdown, not screenshotted.

Convert MD to TEX in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert TEX to DOCX in your browser. pandoc does the work, 0.1s on the probe file. Headings stay headings, styling goes default.

Convert MD to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert MD to RST in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MD to ORG in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MD to MEDIAWIKI in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MP4 to GIF in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MP3 to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert MP4 to WEBM in your browser. ffmpeg does the work, 1.0s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MP4 to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MP4 to MKV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MP3 to OGG in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert WAV to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert AC3 to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert MKA to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert OGA to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert MP2 to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert AU to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. MP3 is lossy, so this pass only goes one way.

Convert CAF to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. MP3 is lossy, so this pass only goes one way.

Convert VTT to SRT in your browser. ffmpeg does the work, 0.1s on the probe file. The same cues, in the container browsers read.

Convert ASS to SRT in your browser. ffmpeg does the work, under 0.1s on the probe file. The same cues, in the container browsers read.

Convert TAR to ZIP in your browser. Python does the work, under 0.1s on the probe file. Opens anywhere, and weighs more for it.

Convert JPG to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PNG to EPS in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert EPS to PNG in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert WEBP to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert JP2 to JPG in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert GIF to MP4 in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to WEBM in your browser. ffmpeg does the work, 2.0s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert BMP to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. One page, and the words inside stay pixels.

Convert GIF to PDF in your browser. ImageMagick does the work, 0.9s on the probe file. Transparency is flattened onto white, deliberately.

Convert HEIF to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert ICO to PDF in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert AZW3 to DOCX in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert CSV to DOCX in your browser. pandoc does the work, 0.1s on the probe file. Headings stay headings, styling goes default.

Convert JSON to DOCX in your browser. pandoc does the work, 0.1s on the probe file. Headings stay headings, styling goes default.

Convert MOBI to DOCX in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert 3GP to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MPG to MP3 in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert OPUS to MP3 in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert MP4 to 3GP in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to 3GP in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to 3GP in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to 3GP in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to 3GP in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to 3GP in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to 3GP in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to 3GP in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to 3GP in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MP4 to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MP3 to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert 3GP to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert AVI to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert FLAC to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. AAC is lossy, so this pass only goes one way.

Convert FLV to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert M4A to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert MKV to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MOV to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MPG to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert OGG to AAC in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert OPUS to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert WAV to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. AAC is lossy, so this pass only goes one way.

Convert WEBM to AAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert WMA to AAC in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert WMV to AAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert SRT to ASS in your browser. ffmpeg does the work, 0.1s on the probe file. Room for styling, none of it invented.

Convert 3GP to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to AVI in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert PDF to AZW3 in your browser. calibre does the work, 0.8s on the probe file. A scanned PDF has no text layer to read.

Convert DOCX to AZW3 in your browser. calibre does the work, 0.8s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert HTML to AZW3 in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert MD to AZW3 in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert MOBI to AZW3 in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert ODT to AZW3 in your browser. calibre does the work, 0.8s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert RTF to AZW3 in your browser. calibre does the work, 0.7s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert TXT to AZW3 in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert PDF to BMP in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert JPG to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert PNG to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert GIF to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert HEIC to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert HEIF to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert ICO to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert SVG to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert TIFF to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert WEBP to BMP in your browser. ImageMagick does the work, under 0.1s on the probe file. Transparency is flattened onto white, deliberately.

Convert XLS to CSV in your browser. LibreOffice does the work, 0.9s on the probe file. The content, and deliberately nothing else.

Convert ODS to CSV in your browser. LibreOffice does the work, 1.1s on the probe file. The content, and deliberately nothing else.

Convert YAML to CSV in your browser. Python does the work, under 0.1s on the probe file. Flat records only, and every type becomes text.

Convert DOCX to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert CSV to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert HTML to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert JSON to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert ODT to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert RTF to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert TXT to EPUB in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert MP4 to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MP3 to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert 3GP to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert AAC to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert AVI to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert FLV to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert M4A to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert MKV to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MOV to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MPG to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert OGG to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert OPUS to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert WEBM to FLAC in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert WMA to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert WMV to FLAC in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MP4 to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert 3GP to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to FLV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert PDF to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert JPG to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert 3GP to GIF in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to GIF in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert BMP to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert FLV to GIF in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert HEIC to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert HEIF to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert ICO to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert MKV to GIF in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to GIF in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to GIF in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert SVG to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert TIFF to GIF in your browser. ImageMagick does the work, 0.1s on the probe file. GIF holds 256 colours, so gradients band.

Convert WEBM to GIF in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to GIF in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert PDF to HEIC in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert JPG to HEIC in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert BMP to HEIC in your browser. ImageMagick does the work, under 0.1s on the probe file. HEIC is lossy, so the artefacts never come out again.

Convert GIF to HEIC in your browser. ImageMagick does the work, 0.1s on the probe file. HEIC is lossy, so the artefacts never come out again.

Convert HEIF to HEIC in your browser. ImageMagick does the work, under 0.1s on the probe file. HEIC is lossy, so the artefacts never come out again.

Convert ICO to HEIC in your browser. ImageMagick does the work, 0.1s on the probe file. HEIC is lossy, so the artefacts never come out again.

Convert SVG to HEIC in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert TIFF to HEIC in your browser. ImageMagick does the work, under 0.1s on the probe file. HEIC is lossy, so the artefacts never come out again.

Convert WEBP to HEIC in your browser. ImageMagick does the work, under 0.1s on the probe file. HEIC is lossy, so the artefacts never come out again.

Convert XLS to HTML in your browser. LibreOffice does the work, 1.0s on the probe file. A web page, so no pages and no margins.

Convert CSV to HTML in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert JSON to HTML in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert ODP to HTML in your browser. LibreOffice does the work, 1.6s on the probe file. A web page, so no pages and no margins.

Convert ODS to HTML in your browser. LibreOffice does the work, 1.0s on the probe file. A web page, so no pages and no margins.

Convert ODT to HTML in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert PPT to HTML in your browser. LibreOffice does the work, 1.5s on the probe file. A web page, so no pages and no margins.

Convert RTF to HTML in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert TXT to HTML in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert PDF to ICO in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert JPG to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert BMP to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert GIF to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert HEIC to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert HEIF to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert SVG to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert TIFF to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert WEBP to ICO in your browser. ImageMagick does the work, under 0.1s on the probe file. ICO caps at 256 pixels a side, by structure.

Convert DOCX to JSON in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert HTML to JSON in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MD to JSON in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert ODT to JSON in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert RTF to JSON in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert TXT to JSON in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MP4 to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MP3 to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert 3GP to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert AAC to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert AVI to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert FLAC to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. M4A is lossy, so this pass only goes one way.

Convert FLV to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MKV to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MOV to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MPG to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert OGG to M4A in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert OPUS to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert WAV to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. M4A is lossy, so this pass only goes one way.

Convert WEBM to M4A in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert WMA to M4A in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert WMV to M4A in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert 3GP to MKV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to MKV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to MKV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to MKV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to MKV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to MKV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to MKV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to MKV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert PDF to MOBI in your browser. calibre does the work, 0.9s on the probe file. A scanned PDF has no text layer to read.

Convert DOCX to MOBI in your browser. calibre does the work, 0.8s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert AZW3 to MOBI in your browser. calibre does the work, 0.8s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert HTML to MOBI in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert MD to MOBI in your browser. calibre does the work, 0.7s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert ODT to MOBI in your browser. calibre does the work, 0.9s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert RTF to MOBI in your browser. calibre does the work, 0.7s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert TXT to MOBI in your browser. calibre does the work, 0.7s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert MP4 to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert 3GP to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to MOV in your browser. ffmpeg does the work, 0.3s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MP4 to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert 3GP to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to MPG in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to MPG in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert PPT to ODP in your browser. LibreOffice does the work, 1.3s on the probe file. Still editable, and the page breaks may move.

Convert XLS to ODS in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert DOC to ODT in your browser. LibreOffice does the work, 1.2s on the probe file. Still editable, and the page breaks may move.

Convert CSV to ODT in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert HTML to ODT in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert JSON to ODT in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert MD to ODT in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert TXT to ODT in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert MP4 to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert 3GP to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert AAC to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert AVI to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert FLAC to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. OGG is lossy, so this pass only goes one way.

Convert FLV to OGG in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert M4A to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert MKV to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MOV to OGG in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MPG to OGG in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert OPUS to OGG in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert WAV to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. OGG is lossy, so this pass only goes one way.

Convert WEBM to OGG in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert WMA to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert WMV to OGG in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MP4 to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MP3 to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert 3GP to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert AAC to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert AVI to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert FLAC to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. OPUS is lossy, so this pass only goes one way.

Convert FLV to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert M4A to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert MKV to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MOV to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert MPG to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert OGG to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert WAV to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. OPUS is lossy, so this pass only goes one way.

Convert WEBM to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. The picture is dropped, not converted.

Convert WMA to OPUS in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert WMV to OPUS in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert WOFF to OTF in your browser. fontTools does the work, 0.1s on the probe file. Installable again, and two to three times heavier.

Convert WOFF2 to OTF in your browser. fontTools does the work, 0.1s on the probe file. Installable again, and two to three times heavier.

Convert PDF to RTF in your browser. calibre does the work, 0.8s on the probe file. A scanned PDF has no text layer to read.

Convert DOC to RTF in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert DOCX to RTF in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert AZW3 to RTF in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert CSV to RTF in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert HTML to RTF in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert JSON to RTF in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert MD to RTF in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MOBI to RTF in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert ODT to RTF in your browser. LibreOffice does the work, 1.1s on the probe file. Still editable, and the page breaks may move.

Convert TXT to RTF in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert 7Z to TAR in your browser. Python does the work, under 0.1s on the probe file. No compression at all, and that is the point.

Convert ZIP to TAR in your browser. Python does the work, under 0.1s on the probe file. No compression at all, and that is the point.

Convert PDF to TIFF in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert BMP to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert GIF to TIFF in your browser. ImageMagick does the work, 0.2s on the probe file. Pixel dimensions come out exactly as they went in.

Convert HEIC to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert HEIF to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert ICO to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert SVG to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert WEBP to TIFF in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert WOFF to TTF in your browser. fontTools does the work, 0.1s on the probe file. Installable again, and two to three times heavier.

Convert PDF to TXT in your browser. calibre does the work, 0.8s on the probe file. A scanned PDF has no text layer to read.

Convert DOC to TXT in your browser. LibreOffice does the work, 1.1s on the probe file. The content, and deliberately nothing else.

Convert AZW3 to TXT in your browser. calibre does the work, 0.6s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert CSV to TXT in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert HTML to TXT in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert JSON to TXT in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MD to TXT in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert MOBI to TXT in your browser. calibre does the work, 0.5s on the probe file. calibre reflows, so a fixed layout does not survive.

Convert ODT to TXT in your browser. pandoc does the work, 0.1s on the probe file. Structure survives, page layout does not.

Convert RTF to TXT in your browser. pandoc does the work, under 0.1s on the probe file. Structure survives, page layout does not.

Convert ASS to VTT in your browser. ffmpeg does the work, 0.1s on the probe file. The same cues, in the container browsers read.

Convert MP4 to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert 3GP to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert AAC to WAV in your browser. ffmpeg does the work, 0.2s on the probe file. Every sample carried, in a heavier container.

Convert AVI to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert FLAC to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert FLV to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert M4A to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert MKV to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MOV to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MPG to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert OGG to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert OPUS to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert WEBM to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert WMA to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. Every sample carried, in a heavier container.

Convert WMV to WAV in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert 3GP to WEBM in your browser. ffmpeg does the work, 1.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to WEBM in your browser. ffmpeg does the work, 1.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to WEBM in your browser. ffmpeg does the work, 1.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to WEBM in your browser. ffmpeg does the work, 1.0s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to WEBM in your browser. ffmpeg does the work, 1.0s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to WEBM in your browser. ffmpeg does the work, 1.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WMV to WEBM in your browser. ffmpeg does the work, 1.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert PDF to WEBP in your browser. ImageMagick does the work, 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert HEIC to WEBP in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert HEIF to WEBP in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert ICO to WEBP in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert SVG to WEBP in your browser. ImageMagick does the work, under 0.1s on the probe file. Rasterised at 150 dpi, so enlarging it later blurs.

Convert TIFF to WEBP in your browser. ImageMagick does the work, under 0.1s on the probe file. Pixel dimensions come out exactly as they went in.

Convert MP4 to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MP3 to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert 3GP to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert AAC to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert AVI to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert FLAC to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. WMA is lossy, so this pass only goes one way.

Convert FLV to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert M4A to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert MKV to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MOV to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MPG to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert OGG to WMA in your browser. ffmpeg does the work, 0.2s on the probe file. Two lossy passes, and they do not cancel out.

Convert OPUS to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. Two lossy passes, and they do not cancel out.

Convert WAV to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. WMA is lossy, so this pass only goes one way.

Convert WEBM to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert WMV to WMA in your browser. ffmpeg does the work, 0.1s on the probe file. The picture is dropped, not converted.

Convert MP4 to WMV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert 3GP to WMV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert AVI to WMV in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert FLV to WMV in your browser. ffmpeg does the work, 0.1s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert GIF to WMV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MKV to WMV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MOV to WMV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert MPG to WMV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert WEBM to WMV in your browser. ffmpeg does the work, 0.2s on the probe file. Every frame re-encoded, 1280 pixels wide at most.

Convert OTF to WOFF in your browser. fontTools does the work, 0.2s on the probe file. Smaller, and no longer installable.

Convert TTF to WOFF in your browser. fontTools does the work, 0.1s on the probe file. Smaller, and no longer installable.

Convert WOFF2 to WOFF in your browser. fontTools does the work, 0.8s on the probe file. Smaller, and no longer installable.

Convert OTF to WOFF2 in your browser. fontTools does the work, 0.5s on the probe file. Smaller, and no longer installable.

Convert WOFF to WOFF2 in your browser. fontTools does the work, 2.7s on the probe file. Smaller, and no longer installable.

Convert CSV to YAML in your browser. Python does the work, under 0.1s on the probe file. Nothing lost, and every value arrives as text.

ChatGPT will accept a PDF, but it pays for it: page numbers, footers, repeated headers and broken column layout all count as tokens. Convert the PDF to Markdown first and the model only sees the actual content. Same document, 60–95% fewer tokens, noticeably better answers.

Claude's 200k context window is a luxury you waste when you upload a PDF directly. Claude reads the layout (headers, footers, two-column noise) alongside your text. Convert to Markdown first and Claude can spend that context on long-form reasoning instead of parsing artefacts.

Gemini ships the largest context window on the market, 1 million tokens on 2.5 Pro. That is plenty of room for raw PDFs, which is exactly why people stop bothering with conversion. Big mistake: a 200-page PDF that fills 800k tokens of layout noise will give worse answers than the same document at 200k tokens of clean Markdown.

There is no "correct" format for documents, but there is a correct format for documents you intend to feed to a language model. Markdown is the de facto standard: every major LLM was trained on it, every API accepts it, and every model produces better output from it. PDF is for printing. Markdown is for AI.

RAG is only as good as what you index. Raw PDF text (with its broken column boundaries, repeating headers and orphan page numbers) produces chunks that are simultaneously too noisy to embed cleanly and too disconnected to synthesise from. Convert to Markdown first and you get free chunk boundaries: every <code>##</code> is a natural section break.

LangChain ships PyPDFLoader, UnstructuredPDFLoader, and a half-dozen other PDF loaders. They all wrestle with the same problem: PDF text extraction is unreliable, and you end up writing post-processing every time. Convert to Markdown upstream and you skip the wrestle entirely: feed it to TextLoader and chunk by headers.

LlamaIndex's SimpleDirectoryReader will happily ingest a PDF, but its default node-parsing on PDF text is generic: sentence splitting on whatever the PDF parser hands back. Pre-convert to Markdown and you can use MarkdownNodeParser, which builds a node tree that mirrors the document's real heading hierarchy.

Whatever vector store you use (Pinecone, Chroma, Weaviate, Qdrant, pgvector), its retrieval quality is bounded by the embeddings you feed it, and your embeddings are bounded by your input text. Raw PDF chunks embed layout noise alongside content. Markdown chunks embed only content.

Agents call tools. Tools return data. If the tool returns a PDF blob, the agent has to call another tool to extract text, lose the structure, and reason on noise. If the tool returns Markdown, the agent reads it natively: same way a human reads a README.

Cursor is wonderful when it knows the library. It's embarrassing when it doesn't: inventing methods, hallucinating signatures, citing versions that never existed. The fix is to give it the docs. The fix that actually works is to give it the docs as Markdown, dropped in the workspace where Cursor's context engine will pick them up.

Embedding models compress meaning into vectors. They also compress noise into vectors. Pre-converting PDF to Markdown changes the noise floor: less furniture, more content, denser semantic signal. The same chunk, the same model, a measurably better vector.

Most "clean my PDF for AI" tools strip too much (losing structure) or not enough (keeping page numbers and footers). The right cleaning is opinionated: drop everything an LLM doesn't need, keep everything it does. Markdown conversion does this by design.

Obsidian was built for Markdown, not PDF. A PDF in your vault is a dead-end attachment: no search, no graph, no backlinks. Converted to Markdown, the same document becomes a first-class node: searchable, linkable, and visible on the graph.

Notion can import a PDF, but it dumps it as a single embedded preview: no editable blocks, no search inside the content, no way to link from a database row to a specific section. Convert to Markdown first, paste into a Notion page, and every heading, list and table becomes a native Notion block you can edit, link, and query.

Specs that live as PDF attachments on a Jira ticket might as well not exist for the engineering team. The same document committed to the repo as Markdown is searchable, diffable, reviewable in PRs, and rendered automatically by GitHub. Conversion turns a dead artefact into living documentation.

You already live in VS Code for code. Converting PDFs to Markdown lets you live there for documents too: split-pane preview, find-in-files, Git-diff for revisions, AI assistance via Copilot or Cursor, all the muscle memory you already have.

Hugo turns Markdown into websites. The hard part is going from "PDF in a folder" to "Markdown with the right front matter for Hugo to know what to do with it". Conversion solves the first half; a small front-matter convention solves the second.

Jekyll powers GitHub Pages and a lot of long-running technical blogs. Its conventions for posts (<code>_posts/YYYY-MM-DD-title.md</code>) and front matter are simple but rigid: converting a PDF into a publishable Jekyll post is mostly about getting the filename and front matter right.

MkDocs (especially with the Material theme) is the documentation site of choice for many engineering teams. Migrating PDF documentation into it is mostly about converting to Markdown and editing <code>mkdocs.yml</code> to wire the new pages into the navigation.

Docusaurus is React-flavoured documentation: Markdown content with MDX components, automatic sidebars, version branching, search out of the box. Migrating PDF docs into it gives you all of those features on content that was previously a static download link.

Most enterprise Confluence spaces are graveyards of PDF attachments: read once, never updated, never linked. Converting them to Markdown pages turns dead artefacts into living wiki content: searchable, editable inline, linkable from anywhere, and ready to migrate the day you outgrow Confluence.

Logseq is outline-first: every line is a block, every block can be referenced from anywhere. PDFs uploaded directly stay opaque attachments. Converted to Markdown, the same content becomes a tree of referenceable blocks where every paragraph has its own UUID and backlink graph entry.

ChatGPT's browse tool quietly fails on paywalled sites, JavaScript-rendered apps, geo-blocked domains, and any page that takes longer than a few seconds to load. The fallback (pasting the URL's raw HTML) drowns the model in <code>&lt;div&gt;</code> soup, ad markup, and tracking scripts. Convert to Markdown first and ChatGPT sees the article instead of the page.

Claude doesn't browse the web by default. You either copy-paste, attach a screenshot, or feed it scraped HTML: all of which waste the 200k context window on layout. Converting URLs to Markdown gives Claude exactly what it's best at: long-form, structured prose with real headings.

Gemini 2.5 Pro will fetch a URL on its own, and on a clean, fast-loading site, that's convenient. On anything else (paywalls, JS-heavy pages, sites with anti-bot measures, or content you want to pin to a specific snapshot), pre-conversion is the only way to get the page reliably and cleanly into Gemini's 1M-token window.

HTML is what browsers render. Markdown is what LLMs read. Every major model (GPT, Claude, Gemini, Llama, Mistral) was trained on Markdown documentation and reads it as semantic structure. The same content as raw HTML gets parsed as a wall of div soup. Convert once and every downstream model benefits.

Scraping the web for RAG is mostly scraping HTML. The result is a corpus full of nav menus, footer columns, cookie banners, and ad markers, embedded alongside the actual content. Convert URLs to Markdown first and the embeddings concentrate on what the page is about, not how it was decorated.

LangChain's WebBaseLoader is BeautifulSoup with extra steps: same brittleness, same per-site cleanup, same pollution of every chunk with boilerplate. Pre-convert URLs to Markdown and you can use the much simpler TextLoader pipeline, with deterministic output and header-aware chunking ready out of the box.

LlamaIndex's SimpleWebPageReader is convenient and shallow: it fetches a URL, strips some tags, returns text. The text then flatlines through SentenceSplitter, losing every shred of section structure the page had. Pre-convert to Markdown and you can use MarkdownNodeParser, which builds nodes that mirror the page's real heading hierarchy.

A vector database's retrieval quality is bounded by chunk quality, and chunk quality is bounded by input quality. Embedding raw HTML scraped from the web means embedding navigation menus, cookie banners, and ad slots alongside content: every chunk gets pulled toward boilerplate. Pre-convert URLs to Markdown and embeddings concentrate on what each page is actually about.

An agent that calls a "fetch URL" tool and gets back raw HTML wastes most of its context on layout. The next step is always "extract the article text": a second tool call, more tokens, more latency. Have the fetch tool return Markdown directly and the agent skips the second call entirely.

Cursor knows the popular libraries it was trained on. It hallucinates everything else: niche libraries, internal SDKs, recently-released APIs, beta features. The fix is to give it the real docs as Markdown files in the workspace, where Cursor's indexer treats them as first-class context.

Windsurf (and the broader Codeium stack) is excellent at the libraries Codeium's indexer has seen and unreliable on everything else: niche packages, internal SDKs, brand-new APIs, beta features. The fix is the same as in any AI editor: give it the real docs as Markdown files in the workspace, where Windsurf's indexer treats them as first-class context for Cascade.

An embedding is the average of everything the embedder sees. Feed it a chunk that contains 200 words of article and 800 words of nav menu, and the resulting vector points toward "this page has a sidebar". Convert the URL to Markdown first and the same chunk becomes 200 words of article, and the vector points toward what the article is actually about. Same embedder, same dimensions, dramatically different retrieval.

Obsidian Web Clipper is convenient, and inconsistent. Clip the same article from three different sites and you get three different mixes of nav junk, ad placeholders, and broken images. Convert via URL-to-Markdown and you get clean, structured Markdown every time, ready for [[wikilinks]], #tags, and YAML front matter.

Notion's Web Clipper drops a URL into your workspace as a half-rendered preview that you can't edit, can't search inside, and can't link to specific sections. Convert the URL to Markdown first, paste into a Notion page, and the same content becomes native blocks: editable headings, toggleable sections, queryable tables.

GitHub speaks Markdown, specifically GitHub-Flavored Markdown (GFM). Pasting a web article into an issue or README as raw HTML produces a rendering disaster; GitHub strips most tags. Convert the URL to Markdown first and the same content drops cleanly into READMEs, wiki pages, issues, and discussions.

Hugo is one Markdown file per page, plus front matter. Migrating web content into a Hugo site usually means manually rewriting articles: slow, error-prone, and full of formatting drift. Convert URLs to Markdown with auto-generated front matter and the migration becomes a directory drop.

Jekyll posts are Markdown files in <code>_posts/</code> with a date-prefixed filename and a YAML front matter block. Converting web URLs into that exact shape (content, metadata, filename) turns "republish this article on my Jekyll site" from a 30-minute manual chore into a one-click web conversion (via <a href="/convert/url-to-markdown">mdisbetter.com/convert/url-to-markdown</a>) plus a tiny front-matter wrapper.

MkDocs eats Markdown and produces a documentation website. The hard part is supplying the Markdown, usually written by hand. Convert existing web content (vendor docs, internal wiki pages, reference articles) to Markdown and you can stand up a documentation site from existing material in an afternoon.

Confluence accepts Markdown imports natively (Cloud) or via plugin (Server/DC). Migrating external web content via URL-to-Markdown produces native Confluence blocks (searchable, editable, linkable) instead of the embedded link previews you get when you just paste a URL.

Logseq is outline-first: every line is a referenceable block. Most web clippers produce flat prose blobs that Logseq treats as one unbroken paragraph. Convert URLs with outline-aware structure and the same content becomes a tree of blocks where every paragraph has its own UUID and backlink graph entry.

Reading docs in a browser while writing code in VS Code is two-window context-switching tax all day long. Convert the doc URL to Markdown, drop the <code>.md</code> file into your repo, hit <code>Ctrl+Shift+V</code>, and the preview opens in a side pane. Same screen, no tab switching, full search inside the doc, version-controlled with the project.

Docusaurus is the modern docs-as-code default: Markdown/MDX in <code>docs/</code>, a sidebars config, built-in versioning, blazing-fast builds. The hard part of any migration into Docusaurus is supplying the Markdown when your existing content lives on a wiki, a legacy CMS, or a scattering of static pages. Convert each source URL on the web tool, save as <code>.md</code>, drop into the right folder: the migration becomes a directory tree.

Hand ChatGPT a flat block of transcript text and it can answer "what was discussed". Hand it a Markdown transcript with <code>##</code> topic headings and inline timestamps and it can answer "what was decided about pricing, and when", because the recording's actual structure is finally visible.

Claude's 200K context window comfortably fits a full day of meeting transcripts, but only if the transcripts are structured. Markdown with <code>## Topic [HH:MM:SS]</code> headings turns long-form audio into the kind of document Claude was trained to reason over: clear sections, timestamped quotes, navigable structure.

Gemini 2.5 will accept audio directly, and on a clean ten-minute clip that is convenient. On a two-hour podcast, an interview series, or a long meeting you want to actually edit and re-use, the right move is to convert first. Markdown gives you a transcript you can hand-correct, chunk by topic section, and cross-reference against PDFs and web pages in the same Gemini conversation.

Audio is for listening. Plain-text transcripts are for searching. Structured Markdown (with H2 headings at topic shifts, timestamps, and clean paragraphing) is the only format that lets a language model do anything beyond keyword-match. Every modern LLM benefits; the gain is largest on long, multi-topic recordings.

RAG over audio is hard because raw transcripts are flat. Chunking by character count breaks mid-thought, embeddings average across unrelated passages, and retrieval surfaces fragments that lose context. Convert to Markdown first and chunking by section becomes one line of code: chunks become coherent topics, embeddings cluster on meaning, retrieval surfaces complete exchanges.

LangChain has loaders for SRT, VTT, and plain-text transcripts, and they all dump flat text into your pipeline, leaving you to write per-format segmentation regex. Pre-convert to Markdown and TextLoader plus MarkdownHeaderTextSplitter handles everything: each topic section becomes its own document, with the section heading and timestamp already in metadata.

LlamaIndex's default node parsing on transcripts flattens the structure: one document, sentence-split into orphan nodes, no section context preserved. Pre-convert audio to structured Markdown and use MarkdownNodeParser, so each topic section becomes a discrete node, the heading and timestamp live in node metadata, and retrieval can finally surface coherent exchanges.

Audio is the largest unsearched corpus most teams own. Hours of meeting recordings, podcast episodes, interview tapes: none of it semantically searchable until it's text in a vector DB. Convert to structured Markdown, chunk by topic section, embed, and the whole archive becomes queryable in the same way your text content already is.

An agent that receives "audio input" usually receives "audio someone hands to a transcription step that returns flat text", and then has to mentally re-derive everything that flat text threw away. Convert to structured Markdown earlier in the chain and the agent gets a transcript it can actually reason over: explicit topics, explicit timing, explicit section boundaries.

Most architectural decisions are made verbally: in a whiteboard session, a kickoff call, an unrecorded hallway argument that someone later types up badly. Transcribe the audio, convert to structured Markdown, drop into the repo as <code>docs/decisions/</code>. Cursor's indexer then treats the meeting as first-class context, and the AI writes code that reflects what the team actually decided.

Obsidian was built for written notes. Most thinking happens in voice: meetings, walking notes, dictated drafts, podcast reactions you don't want to lose. Transcribe the audio, convert to structured Markdown with topic sections and timestamps, drop into the vault. Voice notes become first-class citizens of the graph: searchable, linkable, taggable, surfaced by backlinks.

Notion's built-in meeting templates assume someone types notes in real time. They never quite work: important moments get missed, details get fuzzy, action items get lost. Transcribe the recording, convert to structured Markdown, paste into a Notion page. Every topic shift becomes a heading block, every quote is timestamped, every action item is grep-able.

Most engineering decisions are made in calls and lost to memory. The dissents disappear. The reasoning evaporates. Six months later, no one remembers why the system is structured the way it is, and the engineer who made the call has long moved on. Transcribe the meeting, convert to GitHub-Flavored Markdown, commit as <code>docs/adr/</code>. Now the decision is part of the repo's permanent record.

Some thinking is faster spoken than typed. A long-form design note, a debug session post-mortem, a code review walkthrough: recording the verbal version takes a quarter the time of writing it from scratch. Convert to Markdown, open in VS Code, edit and refactor with all the editor's tools, and ship the polished result.

Podcast audio is invisible to search engines. The same content as a Hugo blog post (title, date, description, body of structured Markdown) gets indexed by Google and surfaced for every relevant query. Convert each episode's audio to Markdown, drop into <code>content/podcast/</code>, run <code>hugo build</code>. The audio archive becomes a searchable, citable, link-bait-able body of work.

Jekyll posts live in <code>_posts/</code> as Markdown files with date-prefixed names and YAML frontmatter. Podcast episodes naturally fit that shape: each episode has a publish date, a title, a guest list, and a body that wants to be the transcript. Convert audio to Markdown, drop into <code>_posts/</code>, run <code>jekyll build</code>: the audio archive joins your existing blog as searchable text content.

Google Docs has voice typing, which is fine for one person dictating in real time. For recordings (meetings, interviews, podcasts) voice typing fails: it only captures live audio through the mic, gives you no timestamps, and produces a flat block of text. Convert the audio externally to structured Markdown, paste into Google Docs, and you get a properly formatted, navigable document.

Confluence is where most enterprise teams document things they'll need to reference later, and where meeting minutes go to die, written hastily by whoever drew the short straw. Transcribe the actual recording, convert to structured Markdown, import to Confluence. Action items become searchable, decisions get attributed, and the wiki finally reflects what was discussed instead of what someone half-remembered.

Logseq is outline-first: every line is a referenceable block with its own UUID. Most transcription tools produce flat prose blobs that Logseq treats as one long paragraph. Convert audio with structured Markdown output and the same content becomes a proper outline: each topic section is a block you can [[link]] to, ((reference)) from anywhere, and surface in graph view.

Slack voice messages and huddles are great for the speaker and a tax on everyone else. Listening to a colleague's rambling 4-minute voice note is rarely the right use of anyone's time. Transcribe the audio, convert to structured Markdown, drop the summary into the channel. Teammates can skim in 30 seconds what would have taken 4 minutes to listen to.

ChatGPT will summarise a YouTube link, but the summary is shallow: it works from metadata and a few sampled frames, not the full content. Paste the video URL into our converter (or upload an MP4 directly), get back structured Markdown with timestamps, and ChatGPT can finally answer specific questions about a 90-minute talk: what was said, at what minute, with what supporting argument.

Claude's 200K context window can hold an entire conference's worth of talks: a dozen 45-minute sessions, fully transcribed, available to every prompt. The bottleneck has never been Claude; it's been getting video content into a format Claude can read. Convert each video to structured Markdown once, drop into a Project, and the rest is a one-prompt query away.

Gemini 2.5 will accept a video file and answer questions about it, the most impressive demo in the space. It is also a black box: no transcript surfaces, you cannot edit what was extracted, and you pay for the video processing on every query. Convert to Markdown first and you trade the demo for a controllable artefact: edit the text, add your own headings, cross-reference with documents, re-prompt freely.

No language model watches video. They read text, and the question is only what kind of text. A flat auto-generated YouTube caption gives the model 80% of the words and none of the structure. Markdown with timestamps and chapter headings gives it 100% of the words and the navigation cues every modern LLM was trained to recognise.

Video is the largest unsearched corpus most teams own: internal training videos, recorded conferences, podcast back-catalogues, course modules. None of it semantically searchable until it is structured text in a vector DB. Convert to Markdown, chunk by chapter and topic, embed, and the whole archive becomes queryable in the same way your text content already is.

LangChain has YoutubeLoader and various caption parsers: they all return flat text plus a timestamp blob, leaving you to write per-format chapter-detection regex. Pre-convert to Markdown and TextLoader plus MarkdownHeaderTextSplitter handles everything: each chapter becomes its own document with the chapter title and timestamp already in metadata.

LlamaIndex's default node parsing on a video transcript collapses chapter structure: one document, sentence-split into orphan nodes, no chapter context preserved. Pre-convert to structured Markdown and use MarkdownNodeParser, so each chapter or topic section becomes a discrete node, the heading and timestamp live in node metadata, and retrieval surfaces coherent sections instead of fragments.

Hours of conference recordings, podcast episodes, internal training videos, and course modules sit on hard drives doing nothing. Convert to structured Markdown, chunk by chapter, embed, and the whole archive becomes queryable in the same pipelines you already run on text. Video stops being write-only.

An agent that "watches a video" usually receives "auto-captions someone's tool spat out", and then has to mentally re-derive everything that flat text threw away. Convert to structured Markdown earlier in the chain and the agent gets a transcript it can actually reason over: explicit chapters, explicit topics, explicit timestamps. Less tokens spent re-parsing, more tokens available for actual planning.

You watched a 90-minute tutorial on a new framework. The relevant patterns are in your head, but they're not in Cursor's context. Convert the video to Markdown via <a href="/convert/video-to-markdown">Video to Markdown</a>, drop into <code>docs/learning/</code>, and Cursor's indexer treats the tutorial as first-class context. The AI now writes code that follows the patterns the tutorial actually demonstrated, not generic advice from training data.

You watch hours of conferences, podcasts, and courses every month, and remember almost none of it. Obsidian was built to solve exactly this problem for written content; converting video to Markdown extends the same workflow to spoken content. Transcribe, tag, link, and the talks become first-class citizens of your knowledge graph.

Notion can hold a video embed, but the embed is opaque: your team can't search inside it, can't comment on a specific moment, can't turn a chapter into a database entry. Convert the video to structured Markdown via <a href="/convert/video-to-markdown">Video to Markdown</a>, paste into Notion, and the content becomes native: H2 chapter headings become toggleable sections, timestamps anchor comments, and the whole transcript joins your team's searchable knowledge base.

You record a 12-minute walkthrough of how the new feature works. The video lives on YouTube or an internal video host; six months later, the link is broken, the playback speed is wrong, and a new contributor needs to know what was shown at minute 7. Convert the video to Markdown via <a href="/convert/video-to-markdown">Video to Markdown</a>, commit the <code>.md</code> to <code>docs/walkthroughs/</code>, and the content lives in the repo forever: searchable, diffable, and version-controlled alongside the code it documents.

A video on YouTube earns one set of SEO signals. A transcribed blog post of the same content on your domain earns a completely different set: Google indexes the words, your site ranks on the topics, and you own the traffic. Convert the video to Markdown, drop into <code>content/posts/</code>, ship.

Jekyll runs the world's GitHub Pages sites, and most of them under-publish because their authors record videos that never become text. Transcribe the video, drop the Markdown into <code>_posts/</code>, push, GitHub Pages builds. The video lives on YouTube, the transcript ranks in organic search on your domain.

Confluence holds your team's written wiki. The other 60% of institutional knowledge (recorded all-hands, customer calls, design reviews) lives as opaque video files in some shared drive, indexed by nothing. Convert the recordings to structured Markdown, import into Confluence, and the team's entire decision history becomes searchable from the same wiki everyone already opens.

Logseq treats every line as a node in your knowledge graph. Video content (lectures, conference talks, recorded courses) fits the model perfectly when it arrives as structured Markdown: each chapter heading becomes a top-level outline block, each paragraph a child node, each tag and reference a graph edge. Watch the video, convert, paste, and the talk becomes navigable in the same outline interface as your daily notes.

A Google Doc is the team's default surface for "let's read this together and discuss". Video content has historically been excluded from that surface; you can share a YouTube link, but you can't comment on minute 14:22, can't edit a misquote, can't track changes as the team refines the meaning. Convert the video to Markdown, paste into Google Docs, and the transcript becomes a normal collaborative document.

Drop a Word file into ChatGPT and the model receives more than your prose; it gets the entire OOXML envelope: rsidR markers, paragraph properties, run properties, default style references, theme XML. None of it is content; all of it consumes tokens. Convert to Markdown first via <a href="/convert/word-to-markdown">Word to Markdown</a> and ChatGPT sees the same words with 30-50% fewer tokens and zero formatting noise.

Claude is unusually good at faithful citation when the source is structured. Word documents fed in as .docx force Claude to wade through XML overhead before it can reason; converted to Markdown they read cleanly. With 200K tokens of context, a single Project can hold an entire team's document library: every SOP, every policy, every spec; converted once, queried forever.

Gemini will accept a .docx and answer questions about it: convenient for one-off questions, opaque for everything else. Convert to Markdown first and you trade the demo for a controllable artefact: edit any extraction errors, chunk by section, cross-reference with PDFs and web pages, re-feed the same content to multiple downstream prompts without re-paying processing tokens each time.

Every modern LLM was trained on more Markdown than .docx. Markdown is a first-class citizen of the model's training data; .docx is a foreign envelope the model has to mentally strip before reading content. Converting Word to Markdown before feeding it to AI is not a stylistic preference: it's the difference between the model reading your prose and the model parsing OOXML.

Most enterprise knowledge lives in .docx: policies, specs, SOPs, contracts, training materials, board memos. None of it is semantically searchable until it becomes structured text in a vector database. Convert each Word document to Markdown, chunk by heading hierarchy, embed, and the corpus becomes queryable.

Docx2txtLoader is the standard LangChain loader for Word documents, and it flattens every heading into plain text. Section structure disappears, downstream chunking has nothing to anchor on, and your retrieval surfaces context-less fragments. Pre-convert to Markdown and TextLoader plus MarkdownHeaderTextSplitter handles structure cleanly: each section becomes its own document with the heading path already in metadata.

LlamaIndex's DocxReader extracts text from .docx files; the structure that gave the document meaning gets flattened in the process. Pre-convert to Markdown, parse with <code>MarkdownNodeParser</code>, and each section becomes a discrete node: heading hierarchy preserved, metadata pre-populated, retrieval naturally scoped to sections that actually mean something.

Most enterprises sit on a decade of Word documents: policies, specs, SOPs, training materials, board memos, vendor contracts. None of it is semantically searchable until each file becomes structured chunks in a vector database. Convert to Markdown, chunk by heading hierarchy, embed, upsert, and the corpus your team already maintains becomes the most valuable internal search surface in the company.

Cursor's @ file reference is the killer feature for AI-assisted coding, but it only works on text files in your workspace. Word specs and PRDs sit outside the workspace, locked in a format Cursor cannot reference. Convert them to Markdown via <a href="/convert/word-to-markdown">Word to Markdown</a>, drop the .md into your repo (or a parallel docs/ folder), and Cursor can finally pull spec content into prompts: "@auth-spec.md implement the password reset flow as described in section 3".

Years of Word documents (meeting notes, research, project plans, drafts) locked in a format that Obsidian doesn't natively understand. Convert each .docx to Markdown, drop into the vault, and the content joins your linked-thinking system: backlinks become possible, tags become searchable, the [[wiki-link]] graph absorbs documents that have lived for years as isolated files.

Notion has a "Import from Word" feature. Try it on any non-trivial document and you'll see what it gets wrong: heading levels collapse, lists break apart, tables lose alignment, code formatting vanishes. The Markdown import path, by contrast, is one of Notion's best-supported. Convert your Word file to Markdown first, paste, and the page reads exactly the way the source document was structured.

Word documents committed to Git are write-once artefacts: each save creates a new binary blob, diffs are useless, merge conflicts are unresolvable, code review is impossible. The same content as Markdown is a first-class Git citizen: line-by-line diffs, conflict-free merges, reviewable PRs, grep-able from the command line. Migrate the docs once and documentation joins the repo's real workflow.

Word's editing surface is optimised for visual document creation: toolbars, ribbons, style galleries. Useful when you're writing the document, irrelevant when you're extracting structured information from it or making bulk edits. Convert to Markdown, open in VS Code, and you trade the WYSIWYG canvas for a developer's editor: regex find-and-replace across files, multi-cursor editing, Git history, side-by-side preview.

Years of Word documents (articles, whitepapers, research notes) sitting on a shared drive, indexable only by filename and last-modified date. Convert them to Markdown, drop into a Hugo content directory with auto-generated frontmatter (title from H1, date from file mtime, description from the lead paragraph), and the entire archive becomes a fast, searchable static site.

Years of Word articles (newsletters, briefings, internal write-ups) that never made it onto the blog because the conversion friction was too high. Convert each .docx to Markdown, save into <code>_posts/YYYY-MM-DD-slug.md</code> with Jekyll frontmatter, and the article goes live on the next build. The blog backlog you've been meaning to publish for years is suddenly a 30-minute task per article.

Documentation that lives as a folder of Word files is documentation nobody reads: no search, no navigation, no shareable URL. Convert each .docx to Markdown, drop into a MkDocs <code>docs/</code> folder, run <code>mkdocs serve</code>, and the same content becomes a fast searchable site with the Material theme's polished navigation.

Confluence has a "Insert Word document" feature. Run it on a 30-page spec and you'll spend an hour fixing the result: heading levels shift, lists fragment, tables break alignment, code formatting evaporates. Convert to Markdown first, paste into Confluence, and the import is dramatically cleaner: the structural fidelity Markdown enforces survives the round-trip into Confluence's storage format.

Google Docs imports .docx natively, and brings along every Word artefact: invisible track-changes, leftover style references, awkward column breaks, font fallbacks. The Markdown intermediate path filters those out: convert Word to Markdown (which forces structure into a constrained format), paste into Google Docs (which has excellent Markdown paste support). The resulting Doc reads cleaner than the direct import.

Paste a tiktok.com link into ChatGPT and one of two things happens: it declines, or it invents a plausible summary from the URL and the caption. Neither is the video. The fix takes under a minute. Paste the same link into TikTok Transcript, copy the Markdown that comes back, paste that into your chat. A 45 second clip rounds up to one minute and costs 2 credits, and a free account carries 50 credits every month, so about 25 clips before you spend anything.

Claude has no way to open tiktok.com and no ear for audio, so a pasted link buys you nothing. What Claude does have is a context window large enough to hold an entire creator account at once, and that is the real reason to convert. A 45 second TikTok is roughly 120 spoken words, about 160 tokens, which means a hundred clips still leave most of the 200K window free. Transcribe each one at TikTok Transcript for 2 credits a minute, and analyse the set rather than the clip.

Notion will embed a TikTok, and that embed is a black box. Workspace search never looks inside it, teammates cannot comment on a specific line, and a database of embeds tells you nothing you did not already know. Convert the clip at TikTok Transcript, paste the Markdown into the page body, and the words join Notion search like any other text. A one minute clip costs 2 credits, so a 50 credit free month covers about 25 of them.

Saving TikToks to a bookmark note is how a swipe file dies. Obsidian indexes the URL and nothing else, so the phrase you actually wanted to find again is unreachable and the note shows up as an orphan in graph view. Convert the clip at TikTok Transcript, download the <code>.md</code> straight into a vault folder, and the words are indexed the moment Obsidian sees the file. A sub-minute clip costs 2 credits, and 50 free credits a month covers roughly 25.

Nobody approves an ad script by sending around a TikTok link. You need text a client can comment on, a lawyer can flag and an editor can suggest changes to. Convert the clip at TikTok Transcript, then paste the Markdown into a Doc. One step matters before you paste: open Tools, Preferences and tick Enable Markdown, otherwise the headings land as literal hash characters. A one minute clip costs 2 credits, and the free plan includes 50 a month.

If you post four TikToks a week you have already written roughly 600 spoken words on your topic, which is a full newsletter issue sitting in a format nobody can read. Transcribe each clip at TikTok Transcript, paste the Markdown into a draft, and spend your writing time editing rather than starting from a blank page. Four one-minute clips cost 8 credits, and the free plan includes 50 credits every month, so a month of weekly issues fits inside it.

Everything you have ever said on TikTok is invisible to search. The words live in an audio track on someone else's domain, the captions are pixels in the video frame, and Google indexes neither. Convert the clips at TikTok Transcript and the same sentences become text on your own site, where they can rank. One caution first: a single 45 second clip is about 110 words, which is a thin page. The move is combining a themed set into one real post.

There is no way to export subtitles from TikTok, because TikTok never made a subtitle file. The captions you see are rendered into the video frames as pixels, which is why they cannot be selected, copied or downloaded. Transcribe the clip at TikTok Transcript and the timing data comes back with the text, so the result panel offers <code>.srt</code> and <code>.vtt</code> downloads next to the Markdown. Cost is the same either way: 2 credits per minute of video.

A finished TikTok cannot be reposted anywhere without looking like a repost. The script can. Transcribe the clip at TikTok Transcript for 2 credits a minute and you hold the one asset that travels: the words, in a format you can reshape per platform. A creator posting twelve clips a month spends 24 credits doing this, which fits inside the 50 free credits a month, and gets six destinations out of every video.

The standard RAG recipe says split by heading, then sub-split at 800 tokens. Applied to short-form video it does nothing, because a 45 second TikTok transcribes to about 110 words, or 150 tokens, which is already well under any chunk budget. The correct move is the opposite of splitting: one clip is one chunk, one vector, one row. Transcribe each at 2 credits per minute and spend your engineering effort on metadata, which is what makes a short video corpus retrievable.

Academic papers are the worst-case PDF: two columns, dense citations, equations rendered as glyphs, figures with captions that wander. Generic PDF extractors mangle reading order. Our converter handles arXiv preprints, journal articles, and conference proceedings as a special case — column-aware, citation-aware, equation-aware.

A "scanned" PDF is just images of pages — there's no text underneath. Most PDF tools stare at it blankly. Our converter detects when a PDF has no text layer, runs OCR automatically, and emits Markdown the same way as for digital sources. One upload, one download, no separate OCR step.

Tables are where PDF-to-anything-else converters reveal whether they actually work. Most produce text dumps where each row is concatenated into a sentence. Ours produces real Markdown tables — pipes, alignment, headers — that render correctly in every Markdown viewer.

Equations are images of glyphs, not text. The default conversion of an equation-heavy paper is gibberish — half the symbols missing, the rest garbled. We detect equation regions, run them through a math-aware recogniser, and emit valid LaTeX that any Markdown viewer with MathJax or KaTeX renders correctly.

A two-column PDF read top-to-bottom is gibberish — half a sentence from column 1, then a jump back to the top of column 2. Our converter analyses column geometry on every page and emits text in the order you actually read it.

Slide decks exported as PDF are particularly easy to convert well — the structure is already there: one slide = one section, each bullet is a list item, the title is a heading. Our converter recognises slide-deck PDFs and emits the obvious Markdown.

OCR alone gives you raw text. OCR plus Markdown conversion gives you structure: headings, lists, tables, paragraphs — what the document originally was. We bundle both steps so the output is immediately usable, not just searchable.

Invoices are structured by convention but encoded as PDF. Converting them to Markdown surfaces the structure: a header section with metadata, a line-items table, a totals block. The result feeds straight into AI summarisers, expense trackers, or accounting workflows.

Contracts are PDFs because they're signed on paper. Once executed, they often need to be searched, compared with other contracts, or reviewed by AI for risk. None of those work well on PDF. Markdown conversion preserves the numbered-clause structure that makes contracts easy to navigate.

Textbooks have the strongest structure of any document type — chapter, section, sub-section, definition box, key-terms list, problem set. PDF flattens all of it. Markdown conversion brings it back: each chapter is an H1, each section is an H2, definitions stay in dedicated callouts, problem sets are separable for study-guide tooling.

Docs sites are content wrapped in chrome: a sidebar tree, a top navbar, an "Edit on GitHub" button, a search box, a footer with links. The valuable bit is the prose in the middle. Our converter discards the furniture and emits just the article — same as if the maintainer had written it as a Markdown file in the first place.

A modern blog post is 3KB of writing inside 800KB of page weight: ad slots, sticky share buttons, "you may also like" carousels, autoplaying videos, three newsletter popups. None of it is content. Our converter strips it all and gives you the post — title, byline, body, code blocks if any, images with alt text — as Markdown you can actually read or feed to an LLM.

News sites are the worst offenders for page chrome. A typical article page has the body buried under: a sticky header that hides the headline, a video player that autoplays, two sidebar ad columns, a soft paywall overlay, and "more from this author" cards interleaved with paragraphs. Our converter throws all of that away and gives you the article as it would have appeared in a print edition.

API reference pages are the hardest documentation to scrape: rendered from JSON specs by client-side JavaScript, with collapsible endpoint cards and tabbed code samples. Our converter reads the initial server HTML. It does not run JavaScript, open collapsed endpoint cards or switch code-example tabs. Documentation present in that HTML can be extracted as Markdown; client-only content is unavailable.

Wikipedia is the largest publicly-readable knowledge base on the planet, but raw HTML scrapes turn into noise: edit links next to every section, citation markers like "[1][2][3]" cluttering paragraphs, navboxes at the bottom that swamp the article. Our converter handles the wiki idioms specifically — citations stay as proper Markdown footnotes, infoboxes become tables, navboxes are dropped.

A useful forum thread is half the value of the original docs — the practical answers, the gotchas, the edge cases. Threads are also the hardest pages to scrape: deeply nested reply trees, vote counts attached to every post, expand-collapsed replies, and (on Reddit) infinite scroll. Our converter handles the major forum platforms and emits a structured Markdown conversation that preserves the discussion shape.

Marketing pages are designed to be looked at, not read. The copy is fragmented across hero sections, feature grids, testimonial sliders, pricing tables, FAQ accordions. For competitive analysis, content audits, or feeding pages to an LLM that compares positioning, you want the words — flat, in order, without the design layer. Our converter strips the visual and gives you the message.

The converter reads the HTML returned by a public URL. It does not run JavaScript. React, Vue or Angular pages work only when their useful content is already present in the server response.

A GitHub repo page is the README wrapped in 80% UI: file tree, branch picker, contributor avatars, language stats, sidebar widgets, "About" panel. The README itself is already Markdown, but copying it from the rendered page brings the chrome along — and wiki/issue/discussion pages aren't even raw Markdown to begin with. Our converter extracts just the content from any GitHub URL: rendered README, wiki page, issue body, discussion thread.

Stack Overflow is the largest practical-knowledge corpus on the planet, and its pages are wrapped in some of the densest UI on the web: related-questions sidebar, "linked" panel, "hot network questions", advert slots, comment threads under every post. Our converter pulls out exactly what you came for — the question, the accepted answer, the top alternatives — as clean Markdown notes you can save, search, or feed to an LLM.

An e-commerce product page is 95% UI: image carousel, sticky add-to-cart bar, review carousel, "frequently bought together", "people also viewed", footer columns, cookie banner. The 5% you actually want is the product description, the spec table, and the feature list. Our converter extracts those three things and drops everything else, giving you a clean product summary you can compare against alternatives or feed to AI for analysis.

Tutorials are the most valuable form of online content per word: someone has done the work of figuring out the right sequence of steps, and you want to follow along while you build. The pages they live on are usually buried under ads, autoplay video, comments, "you might also like" widgets, and newsletter popups. Our converter extracts the step-by-step structure as clean Markdown — code blocks, image alt text, ordered headings — that reads as a portable, offline study material.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload the audio file of an episode and get everything said in it as text, with optional timestamps.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Upload your recording in one of the formats listed by the audio tool. Choose the spoken language and timestamp option before converting.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste the link of a public Instagram Reel and get everything said in it as text. For a private Reel, upload the video file instead.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

Paste a supported public video link or use Upload a file for a recording you already have. Private meeting and social-media pages cannot be accessed through your browser login.

The .docx format is a ZIP archive of XML — clean, structured, and well-suited to conversion. But Word's authoring style still leaks formatting noise: zero-width characters, smart-quotes, run-level styling that changes mid-word. Our converter normalises that noise into the kind of Markdown you'd have written by hand.

The legacy .doc format is a binary OLE compound file from a different era. Most modern converters silently fail on it or produce mangled output. Ours decodes the binary structure, recovers the text streams, and emits Markdown that's indistinguishable from a .docx conversion.

Word tables are the trickiest part of any Word-to-Markdown conversion. Word lets you merge cells in arbitrary rectangles, stack header rows, embed paragraphs inside cells, and rotate text 90 degrees. Markdown's table syntax (GFM) supports none of those. Our job is to flatten Word's expressive tables into the cleanest possible GFM, and to be honest about what was simplified.

Word documents routinely contain dozens of embedded images: screenshots, diagrams, photos, logos. The .docx format stores them inside the ZIP archive at fixed paths; the conversion job is to extract them, name them sensibly, and rewrite the Markdown to reference them as proper image links.

Track Changes is essential while a Word document is being collaborated on, but once it's done, the markup is noise. Most Markdown converters either include the markup as-is (producing unreadable output) or silently drop content. Ours resolves Track Changes the way Word does — accept all changes, strip comments — and emits the clean final document as Markdown.

Corporate Word templates are a content-extraction nightmare: branded headers on every page, footers with confidentiality disclaimers, logos in the margin, repeating page numbers, watermarks. None of it is content; all of it pollutes a naive Markdown conversion. Our converter recognises the template chrome and strips it, leaving only the actual document content.

Your resume is in Word. Your portfolio is in Markdown. The mismatch is real — and Word resume templates are particularly hostile to conversion because they rely on tables, columns, and tight typography that don't map cleanly to Markdown. Our converter understands resume structure and emits a Markdown CV that looks intentional, not auto-generated.

Business reports in Word are dense documents: 30–80 pages, heavy use of tables and charts, executive summary up front, appendices in the back. Conversion has to preserve the structural hierarchy so a reader (human or AI) can navigate the result. Our converter is tuned for the report genre — it knows what an executive summary looks like and treats it accordingly.

Contracts in Word are highly structured: defined terms in capitals, multi-level numbering (1.1.2, 2.3.4), recitals, signature blocks, exhibits and schedules. Converting to Markdown makes them searchable and AI-ingestible — invaluable for contract review, due diligence, and clause libraries. But there's an honest limit: AI-converted Markdown is a content extraction, not an authoritative legal record.

A thesis or dissertation is the largest single document most people will ever write — 80 to 400 pages, heavy citations, complex tables, equations, multiple chapters with appendices. Converting to Markdown opens it up to digital-first archiving, version control on GitHub, integration with note-taking tools like Obsidian, and AI-assisted research follow-ups.

RTF (Rich Text Format) is the format that refuses to die. It's still the default in some legal practice management software, US federal government document workflows, and old Windows applications that haven't updated since the 90s. The format is a plain-text markup language under the hood — uglier than HTML, but parseable. We turn it into clean Markdown.

ODT is OpenDocument Text — the native format of LibreOffice, OpenOffice, and the broader open-source office ecosystem. It's widely used in European governments (mandated in some), educational institutions worldwide, and the Linux community. The format is XML-based like .docx, but with cleaner conventions and fewer historical quirks.

Apple Pages is the default word processor on Mac. Most Pages users eventually need their content in a portable format — for blogging, GitHub, Obsidian, or AI tools. The cleanest path is to use Pages' built-in DOCX export, then convert that DOCX to Markdown. Two clicks, one upload, one download.

Google Docs added native Markdown export in 2024, but it's rough: tables are flattened to plain text, footnotes are misplaced, image references break, formatting is inconsistent. The cleaner path: export your Google Doc to DOCX, then convert that. Our DOCX pipeline produces the Markdown Google should have.

Standard Operating Procedures live in Word at most companies and they're a perfect fit for Markdown migration. SOPs are highly structured (numbered steps, responsibilities, checklists, decision points) and they need to be searchable, version-controlled, and accessible across teams. Markdown in a wiki gets you all three. Our converter handles the SOP genre conventions cleanly.

Get readable, editable text from a PDF, including scanned pages. This page uses PDF to Markdown: the download is .md, with headings, lists and table markers. It does not directly export an unformatted .txt file.

The tool on this page returns Markdown. Upload the downloaded Markdown to <a href="/convert/markdown-to-html">Markdown to HTML</a> to create the HTML file.

The tool on this page returns Markdown. There is no direct PDF-to-JSON export here. Use the downloaded Markdown in your own parser or data extraction workflow, and validate it against your chosen schema.

The tool on this page returns Markdown. There is no direct PDF-to-CSV export here. Tables are included in the Markdown result when extracted; use a separate table-to-CSV workflow and verify every cell against the source.

Convert PDF content into an editable Word document in two steps: PDF to Markdown here, then Markdown to Word. The first panel downloads .md, not DOCX. Review the text before the second conversion; this workflow rebuilds content rather than reproducing the PDF layout.

Paste a public webpage URL to extract readable text with headings and links. The panel returns Markdown, not unformatted TXT. It fetches the HTML served to a logged-out visitor and does not run the page's JavaScript.

The tool on this page returns Markdown. Paste the resulting Markdown into <a href="/convert/markdown-to-pdf">Markdown to PDF</a> and generate the PDF.

A single webpage, converted to clean Markdown. Paste the URL, get a <code>.md</code> file back with the article content properly structured: page title as H1, semantic headings, real lists, working links, image references. Boilerplate (nav, cookie banners, sidebars, related-posts widgets) is stripped before conversion. Same engine as <a href="/convert/url-to-markdown">URL to Markdown</a>, focused on the single-page case.

Convert not just one webpage, but every page on a website, in a single crawl job. Point at a start page, choose how many pages to take (your plan sets the ceiling), and get the site back as one Markdown file or a ZIP with one file per page, ready to drop into a docs-as-code repo, feed a RAG pipeline, or archive a content library before it's rewritten.

Convert a public webpage's HTML into editable Markdown by pasting its URL. This page opens URL to Markdown. It does not accept pasted HTML source or a local .html file, and it does not execute browser-side JavaScript.

This page opens the URL to Markdown tool. Paste a public webpage URL to extract the HTML returned by its server. It does not execute JavaScript or accept pasted HTML source in this panel.

Browser "Save Page As" gives you 50MB of HTML, broken JavaScript, and missing CSS. "Print to PDF" gives you a frozen 5MB image of a page. Saving as Markdown gives you a 30KB plain-text file that opens in any editor on any device, weighs almost nothing on disk, and stays readable in 20 years when the original page is long gone. The right format for an offline reading list, a personal archive, or a portable knowledge base.

This page opens the URL to Markdown tool. Paste a public webpage URL to extract the HTML returned by its server. It does not execute JavaScript or accept pasted HTML source in this panel.

This page opens the URL to Markdown tool. Paste a public webpage URL to extract the HTML returned by its server. It does not execute JavaScript or accept pasted HTML source in this panel.

Upload a recording in the box above and get everything said in it as clean, punctuated text. Copy it or download it, ready for ChatGPT, Claude or your notes. All you need is a free account.

The default output is a Markdown transcript with punctuated paragraphs and optional [MM:SS] timestamps. It does not identify speakers. AI enhancement is optional and can add a summary, topic headings and extracted notes; review those additions against the recording.

The default output is a Markdown transcript with punctuated paragraphs and optional [MM:SS] timestamps. It does not identify speakers. AI enhancement is optional and can add a summary, topic headings and extracted notes; review those additions against the recording.

The default output is a Markdown transcript with punctuated paragraphs and optional [MM:SS] timestamps. It does not identify speakers. AI enhancement is optional and can add a summary, topic headings and extracted notes; review those additions against the recording.

The default output is a Markdown transcript with punctuated paragraphs and optional [MM:SS] timestamps. It does not identify speakers. AI enhancement is optional and can add a summary, topic headings and extracted notes; review those additions against the recording.

The default output is a Markdown transcript with punctuated paragraphs and optional [MM:SS] timestamps. It does not identify speakers. AI enhancement is optional and can add a summary, topic headings and extracted notes; review those additions against the recording.

The default output is a Markdown transcript with punctuated paragraphs and optional [MM:SS] timestamps. It does not identify speakers. AI enhancement is optional and can add a summary, topic headings and extracted notes; review those additions against the recording.

Paste a YouTube link in the box above and get everything said in the video as clean, punctuated text. Copy it or download it, ready for ChatGPT, Claude or your notes. All you need is a free account.

Paste a video link or upload a video file in the box above and get everything said in it as clean, punctuated text. Copy it or download it, ready for ChatGPT, Claude or your notes. All you need is a free account.

The default output is a Markdown transcript of the spoken content. Public-link transcripts have no timed caption track. Uploaded recordings can include segment timestamps. AI enhancement is optional; summaries and topic headings are not part of the default transcript.

The default output is a Markdown transcript of the spoken content. Public-link transcripts have no timed caption track. Uploaded recordings can include segment timestamps. AI enhancement is optional; summaries and topic headings are not part of the default transcript.

The default output is a Markdown transcript of the spoken content. Public-link transcripts have no timed caption track. Uploaded recordings can include segment timestamps. AI enhancement is optional; summaries and topic headings are not part of the default transcript.

This page opens Word to Markdown and downloads a Markdown file. It does not directly export TEXT.

This page opens Word to Markdown and downloads a Markdown file. It does not directly export TEXT.

This page opens Word to Markdown and downloads a Markdown file. It does not directly export HTML.

This page opens Word to Markdown and downloads a Markdown file. It does not directly export HTML.

This page opens Word to Markdown and downloads a Markdown file. It does not directly export PDF.

Google Docs supports native Markdown download. Use that direct route for a document already in Docs. The panel on this page accepts a local DOCX and returns Markdown; it does not open a Google Doc or connect to your Drive.

You have a Word document and you need it in a different format. mdisbetter does the conversion in your browser with a free account: no software install, no watermarks. The most useful target format depends on what you're doing next: <a href="/convert/word-to-markdown">Markdown</a> for AI input or static sites, HTML for web publishing, plain text for search/NLP, PDF for sharing. For 90% of users today, the answer is Markdown.

mdisbetter is a DOCX converter built for the AI era — primary target format is Markdown (the format ChatGPT, Claude, and modern static sites actually want), with HTML, plain text, and PDF as secondary targets. Also handles related formats: <a href="/convert/rtf-to-markdown">RTF</a>, <a href="/convert/odt-to-markdown">ODT</a> (LibreOffice), and legacy .doc files. Browser-based, no software install, just a free account.

mdisbetter is the online, browser-based, no-install version of the Word-to-Markdown conversion you might otherwise do with pandoc on the command line. Drop a .docx in, get clean Markdown back in seconds — works on any device with a modern browser, no Office required, no developer tooling required, no Python or Node install required.

DOCX in, .md out. The single most useful conversion in any AI/dev workflow today: take a Word document and produce a clean Markdown file ready for ChatGPT, Claude, Obsidian, GitHub, Hugo, MkDocs, or any of the dozens of tools that natively consume Markdown. mdisbetter does this in seconds, in your browser, with a free account.

Someone sent you a .docx and you don't have Word installed. mdisbetter opens .docx files in your browser with a free account: no Office, no LibreOffice, no Google Docs. The "view" is actually a Markdown preview of the document's content (since rendering pixel-exact Word layout in a browser is overkill for the read-and-quote use case), but every word, table, and image is faithfully preserved.

For a Word file you want to edit in Google Docs, start with Google Drive. The MDisBetter panel here returns a Markdown file, not a Google document. Choose this optional intermediate only when you also want a local Markdown copy.

RTF (Rich Text Format) is the cross-platform document format from the early 90s — still ubiquitous in legal workflows, government document exchange, and anywhere documents need to round-trip between Word, WordPerfect, and obscure word processors. mdisbetter converts .rtf files to Markdown for AI/modern workflows, with HTML, plain text, and DOCX as alternative targets.

ODT is the native document format of LibreOffice and OpenOffice — open standard (ISO/IEC 26300), used by governments, EU institutions, and anyone avoiding Microsoft format lock-in. mdisbetter converts .odt files to Markdown for AI/modern workflows, with HTML, plain text, and DOCX as alternative targets. No software install required, browser-based, free.