- Enterprise & Automation Teams: Automate high-volume document pipelines (contracts, invoices, forms, archives).
- Legal & Compliance Departments: Extract clauses, signatures, and structured data for audits and contracts.
- Research & Analytics: Process scientific papers, handwritten notes, charts, and diagrams into AI-ready JSON.
- Developers & Tool Builders: Build document Q&A systems and RAG pipelines with OCR + LLM capabilities.
- Security-Sensitive Organizations: Use on-premise or private cloud deployment for data sovereignty and privacy.
How to Use Document AI?
- Use the OCR API: Call `client.ocr.process(model="mistral-ocr-latest", document=...)` via Mistral’s SDK or HTTP endpoint.
- Choose Output Mode: Get plain Markdown or structured JSON with metadata, tables, bounding boxes, and images.
- Use Annotations & Q&A: Define templates to extract specific data or use Document Q&A to query content in natural language.
- Scale Workflows: Process up to 2,000 pages/min per GPU; costs around $1 per 1,000 pages OCR and $3 per 1,000 pages annotated extraction.
- Deploy Securely: Choose cloud, private cloud, or self-hosted mode for compliance-heavy industries.
- Exceptional OCR Accuracy: 99%+ accuracy across 40+ languages; benchmarks show 94.9%–98.96% depending on test type.
- Handles Complex Layouts: Accurately extracts tables, equations, multi-column text, images, and handwriting.
- High Throughput: Processes ~2,000 pages per minute on one GPU—suitable for enterprise-scale.
- Structured & NLP-Ready Output: Outputs in markdown or JSON with bounding boxes—ideal for RAG pipelines or automated systems.
- Modular Document Q&A: Combine OCR with LLM for queries, summarization, insight, and multi-document comparisons.
- Near-perfect OCR accuracy across global languages
- Fast processing for high-volume workloads
- Clean, structured output ideal for automation
- Supports complex layouts including tables & diagrams
- Secure deployment options for privacy-conscious users
- Some bank cheque scans or low-quality images may still fail
- Annotations and Q&A incur higher costs and compute needs
- Self-hosting requires contact and custom pricing
OCR
$1/1000 pages
Annotations
$3/1000 pages
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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