Mistral AI - OCRv3

Overview

Mistral OCR delivers state-of-the-art document understanding, designed to extract text and structure from a wide range of document types with exceptional accuracy and efficiency. From handwritten notes and scanned archives to complex forms and data-dense tables, Mistral OCR enables organizations to transform documents into usable, structured data at scale.

Built to handle real-world complexity, Mistral OCR accurately interprets cursive handwriting, mixed printed and handwritten content, and low-quality or distorted scans. It is highly robust to common document issues such as compression artifacts, skew, low DPI, and background noise, making it well suited for both enterprise and everyday use cases.

A key strength of Mistral OCR is its ability to preserve document structure. It reconstructs complex tables with headers, merged cells, and hierarchical layouts, outputting clean markdown enriched with HTML table elements. This allows downstream systems to understand not just extracted text, but also the relationships and layout within the original document.

Mistral OCR is available through both an API and a user-friendly document interface, enabling seamless integration into automated pipelines or interactive workflows. Users can instantly convert PDFs and images into clean text or structured JSON for use in search, analytics, knowledge systems, and AI-driven applications.

Designed for efficiency as well as accuracy, Mistral OCR offers high performance at a competitive cost and supports a wide range of languages and document formats. It is ideal for document digitization, form processing, archive modernization, and any workflow where reliable document-to-knowledge transformation is essential.