How do I convert a PDF to Markdown for free?

Upload your PDF to mdisbetter.com, click Convert, and get clean structured Markdown in seconds. No signup, no installation — it works directly in your browser.

Why is Markdown better than PDF for AI?

Markdown reduces token usage by up to 95% compared to PDF when feeding documents to AI models like ChatGPT or Claude. PDF contains layout metadata, fonts, and binary data that waste tokens. Markdown preserves only the content structure that AI actually needs.

What file types can MDisBetter convert to Markdown?

MDisBetter converts PDF, Word (.docx), plain text, YouTube videos (transcript extraction), audio files (MP3, WAV, M4A, OGG, FLAC, WEBM), and any web page URL to clean Markdown.

Is MDisBetter free to use?

Yes, MDisBetter is completely free. You get 10 conversions per day with no signup required. All tools work directly in your browser.

How do I extract a YouTube transcript as Markdown?

Paste the YouTube video URL into the YouTube to Markdown tool on mdisbetter.com and click Convert. The tool extracts the transcript and structures it as clean, formatted Markdown with headings and timestamps.

Gemini reads video natively — why convert to Markdown first?

For ad-hoc one-shot questions, native video is fine. For anything you want a re-usable transcript of, want to hand-correct, want to feed to several downstream prompts, or want to cross-reference with text documents — Markdown is the controllable artefact. Native video keeps the extraction hidden inside Gemini's state.

How much video can fit in Gemini's 1M-token context as Markdown?

Roughly 8-15 hours of structured transcript depending on talk pacing. A 60-minute conference talk is typically 12-20K tokens of Markdown — under 2% of the window. You can fit a full conference (10-15 talks) in one prompt and have Gemini synthesise across them.

Does Markdown affect Gemini's quality on video questions?

For fact-extraction and quote-attribution questions, yes — significantly. Native video processing produces vague summaries; Markdown produces specific quotes with timestamp anchors. For "describe what is happening visually" questions, native video wins — those use cases want the frame data.

Can I combine video transcripts with PDFs and web pages in Gemini?

Yes — the best use of the 1M window. Convert each source to Markdown (video here, PDFs via PDF to Markdown , URLs via URL to Markdown , audio via Audio to Markdown ), attach all of them to one AI Studio session, ask cross-source questions.

How do I correct speaker labels after conversion?

Open the .md in any text editor, find-and-replace generic labels ( Speaker 1 ) with real names. Save and re-attach. Gemini honours your corrections throughout the rest of the conversation, and downstream queries gain reliable speaker attribution.

Video to Markdown for Gemini — Beyond Native Video Input

Native video input is convenient and opaque

Gemini's native video path is excellent for one-off "what is this video about" questions. It is the wrong tool for the job when you want to: (a) keep a re-usable transcript, (b) hand-correct any extraction errors, (c) feed the same video to multiple downstream prompts without re-paying processing tokens, or (d) cross-reference the video against text documents in the same conversation. For all of those, Markdown is the right primitive.

Convert once on Video to Markdown (paste a YouTube URL or upload your MP4), download the .md, and feed that to Gemini. The 1M-token window means you can fit several hours of structured transcript alongside the related slide deck (PDF) and the project brief (URL) — a multi-modal source set that Gemini can cross-reference as one unified context.

AI Studio and Vertex workflow

Both AI Studio and Vertex accept multiple .md attachments per conversation. Pattern: convert the conference talk video, attach the transcript, also attach the PDF version of the slides (PDF to Markdown for Gemini) and the speaker's blog post (URL to Markdown for Gemini). Ask Gemini to verify whether the spoken claims match the slides and the blog. The 1M window is finally doing useful work.

Tool	Cost	Unit
Text to MD, EPUB to MD, MD to PDF, MD Cleaner, Merger, Chunker, Token Counter, Context Builder	Free	—
Word to MD	0.5 credit	per page
Excel to MD	0.5 credit	per conversion
Single URL Scrape	0.5 credit	per call
Site Crawl	1 credit	per page
Translate	1 credit	per 10 000 chars (min 1, free re-translation on cache hit)
Prompt Optimizer	1 credit	per call
System Prompt Generator	1 credit	per call
Audio to MD	2 credits	per minute
Video to MD	2 credits	per minute
YouTube to MD	2 credits	per minute
Image OCR	4 credits	per image (0 on cache hit)
PDF to MD	4 credits	per page
PPTX to MD	4 credits	per slide

Video to Markdown for Gemini — Editable, Searchable Transcripts

Native video input is convenient and opaque

AI Studio and Vertex workflow

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