

What is Mistral OCR?
Mistral OCR is an Optical Character Recognition API that extracts text, images, tables, and equations from PDFs and documents. It processes up to 2,000 pages per minute and outputs content in Markdown format, making it valuable for researchers digitizing scientific papers, legal professionals handling contracts, and archivists preserving historical documents.
What sets Mistral OCR apart?
Mistral OCR distinguishes itself by preserving the original structure and layout of documents during processing, making it ideal for professionals who need to maintain document integrity when working with mixed-content materials. The multilingual support proves valuable for international organizations and research teams working with documents in various languages and scripts. Mistral OCR's simple API design allows for direct integration into existing workflows and systems, saving document processing teams significant time during implementation.
Mistral OCR Use Cases
- Scientific paper digitization
- Contract data extraction
- Knowledge base creation
- Table and form processing
- Historical document preservation
Who uses Mistral OCR?
Features and Benefits
- Extract document content in Markdown format for immediate use with AI systems and Retrieval-Augmented Generation workflows.
AI-Ready Output
- Process text, images, tables, and equations in a single pass while preserving the original document structure and layout.
Multimodal Processing
- Process up to 2,000 pages per minute on a single node for efficient large-scale document processing.
High-Speed Document Handling
- Extract complex tables with their structure intact, preserving row, column, and cell relationships.
Table Extraction
- Identify and extract mathematical equations with LaTeX formatting for scientific and technical documents.
Equation Recognition
- Process documents in multiple languages and scripts, making it suitable for global content and organizations.
Multilingual Support
Pricing
Currently free to use
No monthly cost
Potential future pricing may introduce page-based billing options