Cut PDF token usage by up to 70%
Every file you upload arrives as clean Markdown. That means fewer tokens burned, better LLM comprehension, and documents you can version-control in Git.
MDify converts 12+ file formats to structured .md in seconds. No sign-up. No watermark. Open source from line one.
The case for Markdown
Why this matters for your pipeline
Raw PDFs waste tokens. HTML carries hundreds of lines of noise. Markdown is the format LLMs were trained on, and the conversion pays for itself on the first batch.
Cut PDF token costs by up to 70%
A 20-page PDF fed raw into GPT-4 burns through tokens like paper through a shredder. The same document converted to Markdown? Sixty to seventy percent fewer tokens. That gap compounds across hundreds of documents in a RAG pipeline. We ran this on a set of SEC filings last quarter. The API bill dropped from $340 to $98 per month. Same retrieval quality.
Markdown is the lingua franca of LLMs
Every major model (GPT, Claude, Gemini, Llama) was trained on Markdown. When you feed a PDF with broken layouts, invisible tables, and embedded fonts, the model spends context window budget parsing junk. Clean Markdown gives the model what it expects: headings, lists, tables, and paragraphs. The retrieval accuracy goes up because the signal-to-noise ratio goes up.
Built on a library with 110K+ stars
MDify wraps Microsoft's MarkItDown library. Not a weekend project. Not a wrapper around pdftotext. A production-grade converter backed by Microsoft's open-source team with over 110,000 GitHub stars. It handles the edge cases: nested tables in DOCX files, merged cells in Excel, speaker notes in PowerPoint, metadata in ePub.
Raw PDF
tokens per document
MDify
Clean Markdown
tokens per document
Based on GPT-4 tokenization of a 12-page financial PDF. Your mileage varies by document structure, but the pattern holds: Markdown strips layout metadata, font definitions, and binary noise that inflate token counts without adding retrieval value.
Who it's for
Six teams. One tool.
MDify solves the same problem everywhere: you have documents in one format and you need them in Markdown. The specifics change. The conversion doesn't.
AI and LLM Pipelines
You have 40 PDFs, a messy Confluence export, and a deadline to stuff it all into a RAG pipeline. Markdown strips out the noise. No HTML tags. No binary encoding. Clean text your model can chew through in one pass.
Developers and Engineers
Specs in Word. Runbooks in PDF. Wiki exports as zipped HTML. You convert once, commit as .md, and your docs live next to the code. Git diffs work. Search works. The whole team stops asking "where is the latest version?"
Researchers and Academics
Research papers locked in PDF lose their tables, headers, and citations when you copy-paste. MDify keeps the structure intact. Headings stay headings. Tables stay tables. You get a file Obsidian and Notion can import without cleanup.
Content Teams and Writers
Your client sent a 22-slide deck and a Word doc. You need both in Markdown for the CMS by end of day. Upload, convert, paste into Ghost or Jekyll. The formatting transfers. No manual reformatting. Ten minutes saved per document, minimum.
Data and Analytics Teams
Excel files don't render in pull requests. Markdown tables do. Drop a spreadsheet into MDify and you get a clean pipe-delimited table you can paste into a README, a wiki page, or a Slack thread.
Enterprise Operations
Legacy contracts. HR policy PDFs from 2018. Compliance docs nobody wants to open. Convert the archive to Markdown and suddenly you have a searchable knowledge base. Full-text search across every file you forgot existed.
All file types supported
12 formats in, one format out
Drag a PDF in. Drag an Excel file in right after. MDify handles the conversion the same way regardless of what you feed it. The output is always clean, structured Markdown.
Workflow
Three steps. No friction.
No account creation screen. No API key form. No pricing table to scroll past. You open the page and start converting.
Drop your files
Drag up to 10 documents onto the converter. Mix formats freely. A PDF, two spreadsheets, and a slide deck in one batch? Works fine.
Hit Convert
One click. MDify sends each file to a FastAPI backend running Microsoft's MarkItDown library. Conversion finishes in seconds, not minutes.
Preview, copy, or download
Syntax-highlighted Markdown appears inline. Copy it to your clipboard with one click, or download the .md file. Filenames match your originals.
Under the hood
Two services. Zero complexity for you.
Frontend
A single-page app with drag-and-drop upload, real-time conversion status, and a tabbed output viewer with syntax highlighting. Dark theme by default because nobody asked for light mode.
Backend
A FastAPI server wrapping Microsoft's MarkItDown library with 110K+ GitHub stars. Your file goes in as multipart form data, gets converted, and clean Markdown comes back as JSON. Requires Python 3.10+. Runs on Render's free tier.
Every file you upload arrives as clean Markdown.
Drop a document in. See the Markdown come out the other side. If you don't like it, you lost ten seconds.
Open MDify →