Mistral OCR 4
by Mistral AI
Structure-aware document AI that returns bounding boxes, typed blocks, and per-word confidence scores.
Mistral OCR 4 is a document-understanding model from Mistral AI that extracts structured content (bounding boxes, typed-block labels, and per-word confidence scores) from PDFs and office documents across 170 languages, and can run fully self-hosted in a single container. It is built for enterprise teams building RAG, agentic, and enterprise-search pipelines that need citation-ready, verifiable document extraction.
At a Glance
- Category
- AI Models & APIs
- Pricing
- Usage-based, Contact for pricing
- Target Market
- CTOs, Enterprise Developers, Data Scientists, ML Engineers, AI Product Teams
- Founded
- 2023
- Headquarters
- Paris, France
Key Features
- ✓Structure-aware extraction
Returns bounding boxes, typed-block labels (titles, tables, equations, signatures), and structured markdown rather than plain text.
- ✓Per-word confidence scores
Provides inline confidence scores per page and per word to support human verification and auditable pipelines.
- ✓170-language support
Handles 170 languages across 10 language groups and PDF, DOC, PPT, and OpenDocument formats.
- ✓Single-container self-hosting
Runs in a single container for fully self-hosted, private deployment to meet data-residency and privacy requirements.
- ✓Benchmark-leading accuracy
Reports a top OlmOCRBench score of 85.20, 93.07 on OmniDocBench, and a 72% average human-preference win rate over competitors.
Capabilities
Use Cases
- •RAG document ingestion
Convert documents into citation-ready structured text for retrieval-augmented generation and enterprise search.
- •Agentic document workflows
Power invoice processing, form filling, and compliance checks with confidence-scored extraction.
- •Private, on-prem extraction
Deploy in a single container to process sensitive documents without leaving the enterprise.
Ideal For
Best For
- ✓Citation-ready document extraction for RAG pipelines
- ✓Self-hosted, private document AI for regulated data
- ✓Invoice, contract, and compliance document processing at scale
Integrations
Deployment
Market Analysis
Pros
- ✓Structure-aware, citation-ready output built for RAG and agents
- ✓Self-hosting option for regulated and private data
- ✓Strong reported benchmark and human-preference results
Cons
- ✗Benchmark and win-rate figures are largely vendor-reported
- ✗Focused on extraction rather than end-to-end workflow
Pricing
API
From $4 per 1,000 pages
- ✓Structured OCR output
- ✓50% Batch API discount ($2 per 1,000 pages)
Document AI
$5 per 1,000 pages
- ✓Structured outputs for custom and no-code pipelines
Self-hosted
Contact for pricing
- ✓Single-container private deployment for enterprise customers
API is $4 per 1,000 pages ($2 with the 50% Batch API discount); Document AI is $5 per 1,000 pages; self-hosted enterprise deployment is available on request.
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