PDF to Markdown converters compared
There is no single best tool. There is a best tool for scanned pages, one for tables, and one for a contract you cannot upload.
The options
| Approach | Best at | Weak at | Upload? |
|---|---|---|---|
| Browser tools (this one) | Text PDFs, confidential files, no install | Scans, complex tables | No |
| PyMuPDF / pymupdf4llm | Fast, good headings and tables | Needs Python; AGPL licence | No |
| Marker | Academic papers, equations | Slow; downloads ML models | No |
| Docling | Complex layouts, reading order | Heavy dependencies | No |
| pandoc | Everything except PDF input | Cannot read PDFs directly | No |
| LLM extraction | Scans, handwriting, messy layouts | Costs tokens; can hallucinate | Yes |
| Hosted SaaS converters | Convenience, batch jobs | Your document goes to their server | Yes |
How to choose in one question
Is the PDF a scan?
If the pages are images with no text layer, most of the table above is irrelevant — there is nothing to extract. You need OCR first (Tesseract locally, or an LLM with vision). Any tool claiming to convert a scan without OCR is quietly returning an empty file.
Can the document leave your machine?
Contracts, invoices, statements and anything under an NDA usually cannot. That rules out hosted converters and LLM extraction, and leaves browser-based or local tools.
Does it have real tables?
Table reconstruction is the sharpest difference between tools. A browser-based extractor reads text in visual order and will usually flatten a table into lines. PyMuPDF, Marker and Docling reconstruct the grid. If the tables carry the meaning, use a local library rather than any in-browser tool, including this one.
Where this tool is the wrong choice
Being specific about that is more useful than a feature list:
- Scanned documents. No OCR in the browser. It detects the case and says so.
- Table-heavy financial reports. The grid will not survive; use the local command-line version or PyMuPDF directly.
- Hundreds of files. This is a one-at-a-time interface. Script it locally instead.
- Multi-column academic papers. Reading order across columns is imperfect; Marker and Docling are built for that.
Where it is the right choice
- A text PDF you need as Markdown in the next thirty seconds.
- A document that must not be uploaded anywhere.
- A machine where you cannot install Python.
- Anything where you want to read and fix the output before using it — the result opens in an editor, not a download.
For a text PDF you would rather not upload, start here.
Convert in your browserQuestions people ask
What is the best PDF to Markdown converter?
It depends on the document. For a text PDF you would rather not upload, a browser-based converter is fastest. For tables or multi-column layouts, a local library such as PyMuPDF, Marker or Docling reconstructs structure far better. For scans, you need OCR first — no extractor can read a page image.
Can pandoc convert PDF to Markdown?
No. Pandoc converts between many formats but cannot read PDF as an input format. You need to extract the text with another tool first, then use pandoc on the result if you want a different output format.
Is it safe to use an online PDF to Markdown converter?
It depends entirely on whether the file is uploaded. Most hosted converters send your document to their servers. A converter that runs in your browser does not — check whether the tool says so explicitly, and whether it still works offline.
Why did my tables come out as plain lines?
Browser-based extraction reads text in visual order and does not reconstruct table grids. Use a local library like PyMuPDF, which detects table structure, if the tables carry the meaning of the document.