Rosetta

PDF Data Extraction API

PDF data extraction with JSON schema. Pull invoices, resumes, contracts, and custom fields from digital PDFs via REST or MCP — no OCR.

Extract runs after parse. Send a JSON schema to POST /api/v2/extract (or pdf_extract) and get structured fields from a digital PDF you already turned into markdown. Preview the text with the free pdf to markdown converter, then use 200 free credits/month for full extract jobs.

Digital PDFs with embedded text · no OCR · uploads up to 4.5 MB

pdf to markdown

Parse API

PDF to markdown and per-page JSON from digital PDFs

pdf to markdown →

MCP server

MCP tools pdf_parse, pdf_extract, pdf_split, pdf_ask in Cursor and Claude

Install MCP server →

200 free credits

API key is free. 200 credits/month, then paid plans — not a free trial

API docs →

FAQ

Does Rosetta support OCR for scanned PDFs?
No. Rosetta extracts text from digital PDFs with an embedded text layer only. Scanned image PDFs are not supported.
How do I parse a PDF in Python?
POST to /api/v2/parse with requests or httpx, passing your PDF file or URL and X-API-Key header. See docs for a full Python example.
Is there an MCP server for Cursor?
Yes. Install via npx -y rosetta-mcp (npm 0.2.2+) with ROSETTA_API_KEY and ROSETTA_API_URL. Tools: pdf_parse, pdf_extract, pdf_split, pdf_ask, pdf_credit_usage, pdf_delete. Local stdio also accepts a file path.
Can I try pdf to markdown before signing up?
Yes. Use the free pdf to markdown tool — one conversion, up to 5 pages, max 4.5 MB upload. Then 200 free API credits/month. Digital PDFs only. Not a free trial.