PowerPoint to Markdown — Convert .pptx Decks Cleanly
Turn presentations into structured Markdown — slide titles, bullets, speaker notes, and embedded text are all preserved.
Make presentations readable by AI and humans
Presentations are where most of your team’s reasoning lives — and where it goes to die. Decks are nearly impossible to search, painful to feed to AI, and hostile to documentation pipelines. Converting .pptx to Markdown unlocks all three.
Our PowerPoint to Markdown tool walks every slide and extracts titles, body text, bullet points, speaker notes, table cells, and SmartArt labels. Each slide becomes a Markdown H2 section with its content underneath, and speaker notes are captured as a separate quoted block per slide.
What we extract
Slide titles (H2) and subtitles
Bullet hierarchy with proper indentation
Tables converted to GFM Markdown tables
Speaker notes as block quotes under each slide
Text inside shapes, SmartArt labels, and grouped objects
Image and chart descriptions in [square brackets]
Slide order matches the original deck
Output works great for AI summarization (“summarize this 60-slide deck”), for migrating decks to a docs site, or for archiving presentations as searchable Markdown.
How it works
Upload your .pptx, .ppt, .odp, or .key file
python-pptx parses the OOXML directly — extracts text, tables, charts, and speaker notes deterministically
Legacy formats are auto-converted to .pptx via LibreOffice before parsing
Embedded images are optionally described by Gemini Flash on each image in isolation
Output is one Markdown file with an H2 per slide and speaker notes as block quotes
Use cases
Summarize long sales decks with ChatGPT or Claude
Archive board decks as searchable Markdown
Migrate training slides to a documentation site
Extract speaker notes for a blog post draft
Build an internal knowledge base from past presentations
Convert pitch decks into AI-ready company briefs
Frequently asked questions
Are speaker notes included?
Yes — always. python-pptx pulls them straight from the notesSlide XML, so they're 100% captured for every slide that has them. Each block renders as `> **Speaker Notes:** ...` under its slide.
How are charts and tables handled?
Chart series and category labels are read from the OOXML directly — not hallucinated from the rendered pixels — so the data table you see in the Markdown matches the data the slide author actually entered. Tables are converted cell-by-cell to GFM Markdown tables with pipes and newlines escaped.
What about images and diagrams?
There's an optional toggle "Describe embedded images with AI". When on, each image is sent to Gemini Flash Lite with a decision-tree prompt (code → fenced block, equation → LaTeX, chart → data table, photo → 1-2 sentence description, etc.). When off, images are marked `` without descriptions to save credits. Image FILES are not extracted as separate downloads.
Does it support .ppt (legacy)?
Yes — .ppt (binary), .odp (LibreOffice Impress), and .key (Apple Keynote) are all accepted. They're auto-converted to .pptx on the server via LibreOffice, then fed back into the python-pptx pipeline. Keynote quality varies depending on the version that authored the file.
How are animations handled?
Animations are dropped — Markdown is a static format. The final visible content of each slide is captured.
Can I include only certain slides?
Not yet. The current converter processes the full deck; per-slide selection is on the roadmap.
Can I convert multiple decks at once?
Yes. Drop several .pptx/.ppt files and each one is processed sequentially through the pipeline, then download all results as a ZIP. The ceiling is 50 files per batch, the same on every plan.
Are decks stored?
No. Files are processed in memory and discarded immediately. We do persist an anonymous usage row (file size, slide count, no contents) and an opaque SHA-256 cache key so a re-upload of the same deck returns instantly.
Your AI doesn't read PDFs directly. It first has to extract the text, decode the layout, ignore the metadata — before it can even start answering. A Markdown file removes all of those steps. Your AI reads it instantly. So you get faster responses, more accurate results, and zero information lost along the way.
Size-wise, it's 100 to 500 times lighter for the same content. A 15 MB PDF becomes a 30 KB .md file. So your AI knowledge base can hold hundreds of documents instead of a handful.
MDisBetter brings 19 free tools together for that — documents, videos, audio, web pages and prompts.
How does it work?
Drop a PDF, a video, an audio file or a URL. MDisBetter extracts the content and gives you a clean Markdown file. So you can send it to your AI, add it to your project files, or store it in your knowledge base — without losing anything.
Frequently Asked Questions
How do I convert a PDF to Markdown for free?
Upload your PDF to MDisBetter, click Convert, and get structured Markdown in seconds. No signup, no installation — it works directly in your browser. The free plan includes 50 credits per month.
Why is Markdown better than PDF for AI?
Markdown reduces token usage by up to 95% compared to PDF. AI models like ChatGPT and Claude process Markdown far more efficiently because it contains only content structure — no fonts, no layout data, no binary overhead.
What file types can MDisBetter convert?
MDisBetter converts PDF, Word (.docx), plain text, YouTube videos (transcript), audio files (MP3, WAV, M4A, OGG, FLAC, WEBM), and any web page URL to clean Markdown.
Is MDisBetter free?
Yes, free to start. The free plan includes 50 credits per month. All processing happens securely — your files are never stored.
Can I extract a YouTube transcript as Markdown?
Yes. Paste the YouTube video URL, click Convert, and get the full transcript structured as Markdown with headings and timestamps. Perfect for feeding video content to AI tools.
PDF → Markdown
Faithful and structured conversion of your documents
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
Questions
Yes! You get 50 credits every month to use any tool. Basic tools like MD Cleaner or Token Counter cost just 0.5 credit per use. When you run out, credits reset the next month or you can upgrade for more.
Wait for your monthly reset or upgrade to a higher plan. Credits renew on your billing date each month.
Yes, cancel anytime with one click. No questions asked. You keep access until the end of your billing period.
Pro gives you 30,000 credits for $29 — that's 30x more credits than Starter for just 3x the price. Every credit costs less, so you get far more value per dollar.