Mistral OCR

Mistral OCR is a state-of-the-art Optical Character Recognition model that excels in speed, accuracy, and efficiency. It is designed to extract text and images from complex documents such as PDFs, images, and multimodal documents, making it ideal for integration with Retrieval-Augmented Generation (RAG) systems. Mistral OCR stands out for its ability to understand and process various document elements, including media, text, tables, and equations with high precision. This makes it particularly useful for digitizing scientific papers, historical documents, and technical literature.

The model is natively multilingual, capable of parsing and transcribing thousands of scripts, fonts, and languages, making it suitable for global organizations and hyperlocal businesses alike. Mistral OCR also boasts top-tier benchmarks, outperforming other leading OCR models in various aspects of document analysis. Its lightweight design allows it to process up to 2000 pages per minute on a single node, making it the fastest in its category.

Mistral OCR introduces the innovative use of documents as prompts, enabling users to extract specific information and format it in structured outputs like JSON. This feature facilitates chaining extracted outputs into downstream function calls, enhancing the model's utility in building intelligent agents.

For organizations with stringent data privacy requirements, Mistral OCR offers a self-hosting option to ensure compliance with regulatory and security standards. This makes it an attractive choice for sectors dealing with sensitive or classified information.

Key use cases include digitizing scientific research, preserving historical and cultural heritage, streamlining customer service, and making technical literature AI-ready. Mistral OCR is currently available on le Chat and la Plateforme, with plans for broader deployment through cloud and inference partners.