Processed on your device — never uploaded

PDF to Markdown

Not a text dump — real Markdown with headings, lists and tables reconstructed from the PDF, at Rust-compiled-to-WebAssembly speed. Perfect for feeding documents to AI tools and notes apps.

Drop a PDF here or click to browse Tap to choose a file
PDF · converted locally · nothing uploaded

Structure, reconstructed — not text, dumped

Most "PDF to Markdown" tools give you a wall of text with # slapped on random lines. This one analyzes the document's actual typography — font sizes, weights, spacing, table geometry — and reconstructs real structure: heading levels, bullet and numbered lists, and genuine Markdown tables. The engine is written in Rust and compiled to WebAssembly, so a hundred-page document converts in seconds, entirely in your browser.

That makes it the ideal bridge into everything that speaks Markdown: AI assistants that reason far better over structured text than over raw PDF, notes apps like Obsidian, wikis, static site generators. And it stays honest about limits: pages that are scans without a text layer are reported by page number rather than silently skipped — those need OCR, which no text-layer converter can truthfully replace.

Frequently asked questions

How does it know what is a heading or a table?
The engine analyzes the PDF's real typography — font sizes, weights, spacing and column geometry — and rebuilds the structure from it. No OCR and no guessing: it reconstructs what the text layer actually says about the document.
What happens with scanned pages?
They have no text layer, so they cannot be converted — and the tool tells you exactly which page numbers are affected instead of skipping them silently. A fully scanned PDF needs OCR, and it will say so.
Why Markdown at all?
Because everything speaks it: AI assistants handle structured Markdown far better than raw PDF, and notes apps, wikis and static site generators take it natively. It is the friendliest format a document can end up in.

Related tools