Convert PDF to Markdown in Your Browser
Convert a text-based PDF to Markdown with headings and lists detected, all in your browser. The structure is approximate, and your PDF never leaves your device.
Drag and drop or Tap to select a PDFclick to select a PDF
Files are processed on your device only.
How it works
- Drop or select your .pdf file. It is read on your device only.
- Headings and lists are detected and shown as Markdown.
- Click Download to save the .md file.
Heuristic structure detection (headings and lists)
Because a PDF has no real heading or list semantics, this tool infers them. It measures the font size of each line: lines noticeably larger than the body text become headings, sized down through the levels, while lines that begin with a bullet or a number become list items. Everything else is a paragraph.
That gives you a usable Markdown skeleton fast, but it is a best-effort guess, so a quick cleanup is expected. To turn Markdown back into a formatted PDF, the Markdown to PDF converter does the reverse. See how browser-side rendering works.
Handy for feeding documents to an LLM
Markdown is a popular way to give a PDF's content to a language model: the headings and lists survive as structure the model can follow, without the scattered coordinates you get from raw extraction. For a single document you want to paste into a prompt, this is quick and private.
For heavy production pipelines processing many files, a purpose-built library will preserve structure better. If you only need the raw words, the PDF to TXT page extracts plain text, and PDF to HTML produces a basic web page instead.
Frequently asked questions
- How accurate is the Markdown structure?
- It is approximate. A PDF stores no headings or lists, so the tool guesses them from font sizes and line prefixes: larger text becomes a heading, bullet-like lines become list items. Expect to review and tidy the result, and note that scanned PDFs with no text layer are not supported.
- Why convert a PDF to Markdown for an LLM or RAG pipeline?
- Markdown keeps headings, lists, and paragraph breaks as lightweight structure a language model can use, without the positioning noise of raw PDF text. For a quick one-off, this tool is handy; for large production pipelines, a dedicated library such as PyMuPDF4LLM or Docling gives better structure.
- What is not carried over?
- Tables, images, exact fonts, and precise layout are not reconstructed; you get headings, paragraphs, and simple lists as text. For tabular data specifically, the PDF to CSV tool is a better fit, and for plain text the PDF to TXT tool.
- Is my PDF uploaded to a server?
- No. The PDF is read in your browser on your device with a local engine. Nothing is uploaded, there is no account, and it keeps working offline.