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Run OCR on local files and public URLs with Markdown output.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Mistral OCR MCP Server" yet — see the docs or source repo.
Use Mistral OCR to process the local file ./reports/contract.pdf, recognize all pages, and return Markdown suitable for archiving.
OCR results for the PDF, with key text extracted by page and formatted as Markdown.
Use Mistral OCR to process this public URL: https://example.com/scanned-report and return readable Markdown text.
Recognized text from the linked document, formatted into an easy-to-read Markdown version.
First check the Mistral OCR service health, then list the page count and page details for ./docs/invoice_scan.pdf to confirm it is ready for OCR.
Service health status plus file page count and page overview to verify OCR can proceed normally.
Convert webpage screenshots and pages into structured Markdown with OCR.
Extract text from images via multiple inputs with batch and flexible outputs.
Extract text from images on macOS with confidence scores and bounding boxes.
Convert images into structured descriptions and OCR for text-only LLM understanding.
Convert files, HTML, and Markdown into PDFs using natural language.
Use OCR and keyword extraction to split and optimize AI workflows.