PDF to Markdown Converter

Upload a PDF, get clean Markdown text — perfect for feeding into ChatGPT, Claude, or documentation workflows.

Free. No signup. File parsed in-memory, never stored.

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Why this matters

Feed PDFs to LLMs

PDFs are token-heavy and bulky for ChatGPT/Claude. Markdown is 5-10x cheaper and renders correctly in any LLM context window.

Research workflows

Extract text from research papers, contracts, and reports. Search, edit, or quote the content without fighting PDF readers.

Migration & indexing

Move PDF documentation into Notion, Confluence, a docs site, or your search index. Markdown is the universal interchange format.

How it works

1

Upload a PDF file (up to 10 MB) — research paper, contract, report, anything text-based

2

We extract the text server-side using a battle-tested PDF parser and normalize whitespace

3

Copy the Markdown — use for ChatGPT/Claude context, docs migration, or full-text search

Frequently Asked Questions

Why convert PDF to Markdown?

The #1 reason: feeding PDFs into ChatGPT, Claude, or any LLM. PDFs are bulky and tokens-expensive; Markdown is dramatically more efficient. Also useful for content migration, search indexing, and converting research papers/contracts/reports into editable text.

How accurate is the extraction?

Text extraction quality depends on the PDF. Text-based PDFs (exported from Word, Google Docs, LaTeX, etc.) extract cleanly. Scanned PDFs — images of text — extract poorly because no OCR is performed; the text needs to already be a text layer in the file.

What's the file size limit?

10 MB per upload. That's enough for most research papers, contracts, manuals, and reports. For multi-hundred-MB documents, you'd need to split into chapters first.

Does this preserve headings and structure?

PDF files don't carry semantic HTML-style heading information — they're a presentation format. We preserve paragraph breaks and line structure, but we can't reliably detect 'this 14pt bold text is an H2'. The output is clean prose with paragraph spacing intact.

Is my PDF uploaded to a server?

Yes — PDF parsing requires server-side code (the library is Node.js only). Your file is parsed in-memory on our server, never written to disk, and discarded after the response. We don't keep copies.

Can I extract tables and images?

Tables come through as text rows (column alignment may not survive). Images are not extracted in this tool — we focus on text. For diagram-heavy PDFs, expect prose output of the text content only.

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