Mistral Unveils New OCR API With Advanced Document Understanding Capabilities

Mistral Unveils New OCR API With Advanced Document Understanding Capabilities

Mistral AI has introduced Mistral OCR, an Optical Character Recognition (OCR) API thagt promises improved accuracy, speed, and versatility than traditional tools.

Key Points:

  • Processes up to 2,000 pages per minute on a single node.
  • Supports a wide array of languages and complex document elements.  
  • Outperforms existing OCR models in benchmark tests.  
  • Offers flexible deployment options, including on-premises for sensitive data.

Unlike traditional OCR tools, which often struggle with complex layouts, Mistral OCR is built to understand the full structure of documents. Whether it’s scientific papers filled with equations, legal contracts with dense formatting, or multilingual documents with mixed content, the model preserves the document’s structure while extracting meaningful data.

Mistral OCR consistently outperforms existing models in document recognition benchmarks. With an overall accuracy score of 94.89%, it beats Google Document AI, Azure OCR, and GPT-4o, particularly excelling in extracting math equations, scanned text, and structured tables.

The API supports hundreds of languages across different writing systems, outperforming competitors in recognizing complex scripts like Hindi, Arabic, and Chinese.

At 2,000 pages per minute on a single node, Mistral OCR is the fastest solution available, making it ideal for businesses handling large document repositories.

Mistral OCR introduces a “document-as-prompt” feature, allowing businesses to extract specific information and format it in structured outputs like JSON. This makes it easier to integrate with AI agents, automation tools, and search systems.

For companies dealing with vast amounts of documents—banks, law firms, research institutions, customer support centers, and regulatory agencies—this technology can automate tedious manual tasks, reduce errors, and speed up decision-making. Instead of employees spending hours copying or scanning information, Mistral OCR allows them to instantly search, extract, and analyze data from their documents.

Additionally, for organizations with high security or compliance requirements, Mistral offers a self-hosted version, ensuring that sensitive or classified data stays on-premises.

Mistral OCR is available today via Mistral’s developer suite, La Plateforme, at 1,000 pages per dollar, with batch processing options that further reduce costs. It will also be rolled out to cloud providers and on-premises deployments for enterprises needing private infrastructure.

Chris McKay is the founder and chief editor of Maginative. His thought leadership in AI literacy and strategic AI adoption has been recognized by top academic institutions, media, and global brands.

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