A PDF to Markdown converter built for verification
pdfmd turns PDFs into reusable Markdown without hiding how the conversion happened. The product starts with private browser-based extraction and adds heavier processing only when a page actually needs it.
- Private by default
- Digital PDF text stays in the browser.
- Evidence over claims
- Markdown blocks retain page and coordinate context.
- Pay for hard pages
- OCR upgrades are selective and explicit.
Why we built it
Most conversion tools optimize for a fast download. That works until a research paper loses its reading order, a contract drops a footnote, or a table looks correct but attaches values to the wrong headers.
Our PDF to Markdown converter keeps page-level provenance beside the output, making quality visible before the Markdown reaches documentation, search, AI, or knowledge-management workflows.
Local first, cloud by consent
Text-based PDFs are parsed in the browser. The file stays on the device, no account is required, and the interface reports zero uploaded pages.
Scans, complex tables, and formulas can require OCR or structural parsing. Those upgrades are proposed page by page, with the upload scope and cost shown before processing.
What we publish
Benchmarks should be reproducible, so production quality reports will include the input class, parser version, output, and known failures rather than a single unexplained accuracy score.
The roadmap extends the same source-linked model to PDF-to-text, PDF-to-JSON, image-to-Markdown, and document-to-Markdown workflows without turning every keyword into a thin duplicate page.
Check the output with a real PDF
Local text extraction is free and does not require sign-in.