Every file you upload arrives as clean, RAG-ready Markdown. That means fewer tokens burned, better LLM comprehension, and documents you can version-control in Git.
MDify Pro converts 20+ file formats to structured .md in seconds. No sign-up. No watermark. Open source from line one.
The case for Markdown
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.
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.
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.
MDify Pro 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 Pro
Clean Markdown
tokens per document
Based on GPT-4 tokenization of a 12-page financial PDF. Token counts are estimates and vary by document structure and model tokenizer, 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
MDify Pro solves the same problem everywhere: you have documents in one format and you need them in Markdown. The specifics change. The conversion doesn't.
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.
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?"
Research papers locked in PDF lose their tables, headers, and citations when you copy-paste. MDify Pro keeps the structure intact. Headings stay headings. Tables stay tables. You get a file Obsidian and Notion can import without cleanup.
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.
Excel files don't render in pull requests. Markdown tables do. Drop a spreadsheet into MDify Pro and you get a clean pipe-delimited table you can paste into a README, a wiki page, or a Slack thread.
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
Drag a PDF in. Drag an Excel file in right after. MDify Pro handles the conversion the same way regardless of what you feed it. The output is always clean, structured Markdown.
Workflow
No account creation screen. No API key form. No pricing table to scroll past. You open the page and start converting.
Drag up to 10 documents onto the converter. Mix formats freely. A PDF, two spreadsheets, and a slide deck in one batch? Works fine.
One click. MDify Pro validates each file, then runs it through a layered conversion pipeline built on Microsoft's MarkItDown. Conversion finishes in seconds, not minutes.
Syntax-highlighted Markdown appears inline with word, character, and estimated-token counts. Copy it with one click, or download the .md file. Filenames match your originals.
Under the hood
A typed, MVVM-structured single-page app with drag-and-drop upload, an honest cold-start/backend status indicator, a tabbed output viewer with live document stats, and a dual-theme Liquid Glass interface with real edge refraction.
A layered FastAPI service wrapping Microsoft's MarkItDown library (110K+ GitHub stars). Every upload passes a security-validation trust boundary, then flows through a testable pipeline — extract → normalize → analyze — and comes back as typed JSON. Runs on Render.
Drop a document in. See the Markdown come out the other side. If you don't like it, you lost ten seconds.
Open MDify Pro →