Convert to Markdown
PDF to Markdown Converter
Extract clean Markdown from text-based PDFs — headings, paragraphs and lists reconstructed — without uploading the document anywhere. Built for feeding LLMs without burning tokens.
Your files never leave your device — conversion runs locally in your browser.
To convert PDF to Markdown, drop a text-based PDF onto the page and its text layer is parsed locally into clean Markdown — headings, paragraphs and lists rebuilt, repeated page headers and footers stripped. Nothing is uploaded. The result feeds an LLM with far fewer tokens than raw PDF text while keeping the document's structure intact.
What this tool can’t do
- Reads the PDF text layer — works on text-based PDFs (reports, papers, exports), not on scanned or image-only pages.
- Scanned documents need OCR, which is not supported yet; if you can't select text in your PDF reader, the file is a scan.
- Multi-column layouts and intricate tables are reconstructed on a best-effort basis — always check the preview.
For pixel-perfect archival reconstruction you'd want a heavyweight ML pipeline; this tool is built for fast, private, LLM-ready Markdown.
Convert PDF to Markdown locally before feeding an LLM
Pasting a whole PDF into a chat model is expensive and lossy. Raw extraction carries layout noise — hard line breaks mid-sentence, page numbers, running headers repeated on every page — and every one of those characters spends context-window tokens while giving the model nothing to anchor on. Converting to clean Markdown first collapses that noise and restores real structure: # headings, lists and paragraphs the model can actually follow, usually at a fraction of the token count.
Because the PDF is parsed entirely in your browser, the document never touches a server on the way. That matters when the file is a contract, a draft or anything you would not paste into a third-party upload box — it stays on your machine, and the Markdown is ready for your prompt, your notes app or a RAG pipeline.
What it handles — and where it stops
This converter reads the text layer of a PDF, so digitally-created files convert well: reports, papers, exported documents and e-books. Headings are inferred from font sizes, paragraphs are re-joined across line and page breaks, lists are detected, and repeated headers and footers are removed. Multi-column layouts and intricate tables are reconstructed on a best-effort basis, so it is always worth scanning the preview before you use the output.
A scanned PDF is the honest exception. Those pages are photographs with no text layer, which needs OCR — not supported here yet. A quick test: if you cannot select text in your PDF reader, the file is a scan and this tool has nothing to read.
Local instant conversion vs heavyweight tools like Marker
Machine-learning pipelines such as Marker can reconstruct dense academic PDFs with impressive fidelity, but they are heavy: you install Python and model weights, or you upload your document to someone else's GPU and wait. For most everyday jobs — getting a clean, structured copy of a readable PDF into an LLM or a notes app — that is far more machinery than the task needs.
Every Markdown takes the opposite trade-off: it runs the moment the page loads, keeps your file private, and returns usable Markdown in a second. When you genuinely need pixel-perfect archival reconstruction of complex scientific layouts, reach for the heavyweight pipeline; for fast, private, LLM-ready Markdown, convert it right here.
How it works
Drop your PDF
Text-based PDFs work best — reports, papers, exported documents. The file is parsed locally, never uploaded.
Review the Markdown
Headings, paragraphs and lists are reconstructed; page headers, footers and page numbers are stripped.
Copy or download
Copy the Markdown for your prompt or notes app, download it as a .md file, or ZIP a whole batch.
About the formats
PDF — Portable Document Format
PDF is the universal format for finished documents: it embeds fonts and fixes the layout so a page looks identical on every device and printer. That fixed layout is why PDF is the right format for deliverables — reports, invoices, papers — and also why extracting clean text back out of a PDF is hard: the file stores positioned glyphs, not paragraphs and headings.
Markdown — Markdown
Markdown is a plain-text format that marks structure with simple punctuation — # for headings, ** for bold, - for lists. It has become the native output format of the AI era: ChatGPT, Claude, Copilot and coding agents all write Markdown, GitHub renders it, and note apps like Obsidian store everything in it. A .md file is just text, which is why it opens in any editor but looks unformatted without a renderer like this one.
Frequently asked questions
Is this safe? Do my files get uploaded?
No upload happens — ever. Converting PDF to Markdown runs entirely inside your browser. Your documents never leave your device, nothing is stored on any server, and the tool keeps working if you go offline after the page loads. That's also why there are no file size limits, no queues and no sign-up.
Why convert a PDF to Markdown before giving it to an LLM?
Tokens and structure. Raw PDF text extraction is full of layout noise — broken lines, repeated headers, page numbers — that wastes context-window tokens and confuses models. Clean Markdown with real headings gives the model document structure to anchor on, typically at a fraction of the token count. Your document also stays on your machine instead of passing through a converter's server.
Does it work on scanned PDFs?
Not yet. This tool reads the text layer of a PDF, so it handles digitally-created documents — reports, papers, exports, e-books. A scanned PDF is photographs of pages with no text layer; that needs OCR, which is on our roadmap. If selecting text in your PDF reader shows nothing selectable, the file is a scan.
How accurate is the conversion?
Honest answer: very good on cleanly-structured documents, approximate on complex layouts. Headings are detected from font sizes, paragraphs are re-joined across line breaks and pages, lists are recognized, and repeated page headers and footers are stripped. Multi-column layouts and intricate tables are reconstructed on a best-effort basis — always check the preview. For pixel-perfect archival reconstruction you'd want a heavyweight ML pipeline; for feeding documents to an LLM, this gets you there instantly and privately.
How is this different from Marker and other ML PDF-to-Markdown tools?
Tools like Marker run machine-learning models to reconstruct dense PDFs with high fidelity, but they're heavy: you install Python and model weights, or upload your document to someone else's GPU and wait. This converter trades that setup for speed and privacy — it runs the instant the page loads and keeps the file on your machine. For everyday readable PDFs headed into an LLM that's usually the better deal; for pixel-perfect archival reconstruction of complex layouts, a heavyweight pipeline still wins.
What is a PDF file?
PDF is the universal format for finished documents: it embeds fonts and fixes the layout so a page looks identical on every device and printer. That fixed layout is why PDF is the right format for deliverables — reports, invoices, papers — and also why extracting clean text back out of a PDF is hard: the file stores positioned glyphs, not paragraphs and headings.
What is a Markdown file?
Markdown is a plain-text format that marks structure with simple punctuation — # for headings, ** for bold, - for lists. It has become the native output format of the AI era: ChatGPT, Claude, Copilot and coding agents all write Markdown, GitHub renders it, and note apps like Obsidian store everything in it. A .md file is just text, which is why it opens in any editor but looks unformatted without a renderer like this one.
Can I convert multiple PDF files at once?
Yes — drop in as many files as you like. Because conversion happens on your own computer instead of a server, there is no per-file fee, no daily cap and no waiting in line. Files are processed one after another and you can download results individually or grab everything as a single ZIP.
Is there a file size or quantity limit?
There is no hard limit. Server-based converters cap uploads because your files consume their bandwidth and CPU; here the work happens on your machine, so the only practical limit is your device's memory. Even book-length documents convert in seconds — text is light work for a modern browser.