Document AI costs range from $50 to $3,250 per month for the same 50,000-invoice workload, with Mistral OCR 3 the cheapest at $0.001-$0.002 per page and AWS Textract the most expensive at $0.065 per page for forms and tables. This document AI cost comparison benchmarks Mistral OCR 3, Google Document AI, AWS Textract, and Azure Document Intelligence across small-business, mid-market, and enterprise volumes - so the document AI pricing calculator math is done for you before you commit.
Editorial disclosure: AI Productivity may earn a commission from links on this page; our rankings are editorially independent and based on each vendor’s published pricing as of May 2026.
According to Mistral AI’s official OCR documentation, the platform is positioned as “a state-of-the-art OCR service that processes documents at a flat per-page price regardless of complexity.” That structural difference matters at scale - switching a mid-market workload from AWS Textract to Mistral OCR 3 saves roughly $76,800 a year, enough to fund an entire FTE.
Why Document AI Pricing Matters
Document AI pricing matters because per-page rates compound at scale, turning a sub-$100 pilot into a six-figure monthly invoice once production volumes hit. Process 10,000 pages monthly and the bill is barely noticeable; scale to 100,000 or 1 million pages, and those per-page fees become budget-breaking costs.
The document AI market fragmented in 2026. Legacy enterprise Document OCR processor services from AWS, Google, and Azure charge premium rates justified by ecosystem integration and enterprise features. AI-native platforms like Mistral OCR 3 (launched December 2026) undercut incumbents by 90%+ while matching or exceeding accuracy on internal benchmarks - so a quick document AI pricing calculator check usually pays off before signing a contract.
Most comparisons focus on features and accuracy; many readers come looking for free AI document analysis options before committing. This guide focuses on cost because even the best OCR platform does not matter if your budget cannot sustain it.
How Does the Document AI Cost Comparison Pricing Table Stack Up?
The document AI cost comparison pricing table shows Mistral OCR 3 charges a flat $2 per 1,000 pages while AWS Textract charges $65 per 1,000 pages for the same forms-and-tables workload - a 32x spread for identical functionality. Here is how the four major platforms compare for common document processing scenarios:
| Platform | Basic OCR | Forms/Tables | Custom Models | Free Tier | Volume Discounts |
|---|---|---|---|---|---|
| Mistral OCR 3 | $2/1K pages | $2/1K pages | $2/1K pages | Le Chat free | $1/1K (batch) |
| Google Document AI | $1.50/1K pages | $10/1K pages | $30/1K pages | $300 credit | After 1M pages |
| AWS Textract | $1.50/1K pages | $65/1K pages | N/A | 1K/mo (3 mo) | After 1M pages |
| Azure Document Intelligence | $1.50/1K pages | $10/1K pages | $30/1K pages | 500/month | Commitment tier |
For simple text extraction the platforms cluster around $1.50-$2 per 1,000 pages, but for complex documents with forms and tables - the use case most businesses actually need - AWS charges 32x more than Mistral ($65 vs $2).
Mistral OCR 3: The Cost Efficiency Leader
Mistral OCR 3 is the cost-efficiency leader at $2 per 1,000 pages standard ($1 per 1,000 pages in batch mode), charging the same flat rate whether you are extracting plain text or processing complex forms with tables, handwriting, and mathematical formulas. The December 2026 release also has no hidden hosting fees - a structural advantage over Google Document AI’s $0.05-per-hour processor charges.
Pricing verified April 2026 from Mistral OCR's pricing page:
- Free Trial (Le Chat): $0/mo (Limited API access for experimental use)
- Free OCR testing on Le Chat
- Limited usage for experimentation
- Best for: Testing OCR capabilities and proof-of-concept projects
- API (Pay-per-use) - OCR 3: $0/mo ($2 per 1,000 pages ($0.002 per page), up to 50MB or 1,000 pages per request)
- API access via la Plateforme
- Mistral OCR 3 model with full accuracy
- Tables, mathematical expressions, images, handwriting
- Multiple languages supported
- Available on AWS, Azure, Google Cloud Vertex
- Best for: Production applications and moderate-to-high-volume document processing
- Batch Inference - OCR 3: $0/mo ($1 per 1,000 pages (50% discount from standard API pricing))
- Volume pricing discount
- Batch processing optimization
- Full OCR 3 capabilities
- Best for: Large-scale digitization and archival processing (100K+ pages monthly)
- Enterprise (On-Premises): $0/mo (Custom pricing)
- On-premises deployment for sensitive data
- Full data privacy and residency
- Custom SLAs
- Best for: Financial, government, and healthcare with strict compliance needs
The batch tier is particularly compelling for archival digitization - 97% cost savings versus AWS Textract for identical functionality.
What Does the Mistral OCR 3 Cost Breakdown Look Like in Real Numbers?
The Mistral OCR 3 cost breakdown stays in three brackets: $10-$20 per month at 10,000 pages, $100-$200 per month at 100,000 pages, and $1,000-$2,000 per month at 1 million pages (batch versus standard API).
There is no commitment tier - pay-as-you-go scales linearly, and the free Le Chat tier covers limited testing. Mistral is the obvious choice for high-volume processing, complex forms and tables, and multilingual workloads (99%+ accuracy across 90+ languages) without custom model training.
Google Document AI: Premium Features at Premium Prices
Google Document AI charges $1.50 to $30 per 1,000 pages depending on processor type, with custom extractors and form parsers at the top of that range. The Gemini Layout Parser (November 2026) delivers exceptional table extraction accuracy, but the per-page fee is roughly 20x higher than Mistral for the same capability.
Pricing verified April 2026 from Google Document AI's pricing page:
- Free Trial: $0/mo ($300 free credit for new customers)
- Access to all Document AI processors
- Pay-as-you-go pricing after credits
- Enough for 200K basic OCR pages or 10K custom extractor pages
- Best for: Testing and small-scale projects
- Pay-as-you-go: Contact sales (Per-page rates from $1.50 to $30 per 1,000 pages by processor)
- Enterprise OCR: $1.50/1,000 pages (1-5M), $0.60/1,000 pages (5M+)
- Custom Extractor/Form Parser: $30/1,000 pages (1-1M), $20/1,000 pages (1M+)
- Layout Parser: $10/1,000 pages
- Invoice Parser: $0.10 per 10 pages
- Processor hosting: $0.05/hour per deployed version
- Best for: Variable document processing volumes with mixed processor needs
- Enterprise: Contact sales (Custom pricing)
- Volume-based discounts available
- Capacity reservation (Preview)
- Dedicated support and custom SLAs
- Best effort tier: 120 pages/min (Gemini 2.0/2.5 Flash)
- Best for: Large organizations with high-volume document processing needs
Google Cost Breakdown (Real Numbers)
Google Document AI costs run $15-$300 per month at 10,000 pages, $150-$3,000 per month at 100,000 pages, and $1,200-$25,000 per month at 1 million pages depending on basic OCR versus custom extractor use. Hosting fees add $36 per month per deployed processor version (24/7 deployment) - $180-$360 monthly for orgs running 5-10 processors regardless of page volume.
Google Document AI justifies its premium for teams already on Google Cloud Platform, those needing custom few-shot training, or those processing poor-quality scans where the Gemini-powered processors lift accuracy enough to justify the 15-30x price gap.
AWS Textract: Enterprise with AWS Lock-In
AWS Textract starts at $1.50 per 1,000 pages for basic OCR and jumps to $65 per 1,000 pages once forms-and-tables analysis is enabled - the highest per-page rate in this document AI cost comparison. The free tier offers 1,000 pages monthly for 3 months (new AWS customers only). Volume discounts kick in after 1 million pages, dropping costs by 33-40% - but you need serious scale to benefit.
Pricing verified April 2026 from AWS Textract's pricing page:
- Free Tier: $0/mo (1,000 pages/month via Detect Document Text API for 3 months)
- Available to new AWS customers only
- Basic OCR text and handwriting extraction
- Best for: Testing and small-scale evaluation
- Detect Document Text API: Contact sales ($0.0015/page (first 1M pages), $0.0006/page (after 1M pages))
- OCR for text and handwriting extraction
- Pay-as-you-go model
- Volume discounts after 1M pages
- Only charged for successfully processed pages
- Best for: Simple text extraction at scale
- Analyze Document API: Contact sales (Tables: $0.015/page; Queries: $0.025/page; Forms+Custom Queries: $0.065/page)
- Forms feature: key-value pair extraction
- Tables feature: structured data extraction (Layout free with Tables)
- Queries feature: custom question-based extraction
- Signatures feature: signature detection
- Multiple features can be combined (charges apply for each)
- Best for: Complex document processing with structured data
- Analyze Expense API: Contact sales (Per-page pricing with volume discounts)
- Invoice and receipt processing
- Automated expense data extraction
- Best for: Finance and accounting automation
- Analyze Lending API: Contact sales (Custom pricing for multi-page loan documents)
- Multi-page loan document processing
- Automatic page classification (income docs, credit reports)
- Splits, classifies, and extracts data in one step
- Best for: Mortgage and loan document automation
AWS Cost Breakdown (Real Numbers)
AWS Textract basic OCR runs $15-$1,200 per month from small-business to enterprise volumes, but the forms/tables tier multiplies that to $650-$50,000 per month for the same page counts. At $65 per 1,000 pages, processing 50,000 invoices monthly costs $3,250 - compared to $50 with Mistral batch pricing (97% savings).
AWS Textract is the right choice for teams already on AWS infrastructure (S3, Lambda, Bedrock) or processing primarily simple text documents. The 2026 accuracy improvements for superscript, subscript, and rotated text help scientific and technical workflows - but outside the AWS ecosystem, the pricing is hard to justify.
Azure Document Intelligence: Microsoft Ecosystem Play
Azure Document Intelligence (formerly Form Recognizer) prices competitively with Google. The free tier provides 500 pages monthly ongoing - better than AWS’s 3-month limit. The commitment tier offers up to 65% discounts for fixed monthly volumes.
Pricing verified April 2026 from Azure Document Intelligence's pricing page:
- Free (F0): $0/mo (500 pages per month)
- Excludes premium features
- Ideal for testing and evaluation
- Best for: Testing and small-scale evaluation
- Read Model: Contact sales ($1.50 per 1,000 pages ($0.60 per 1,000 for 1M+ volume))
- Basic text extraction
- Pay-as-you-go pricing
- Volume discounts above 1M pages
- Best for: Simple OCR and text extraction needs
- Prebuilt Models: $10/user/mo ($10 per 1,000 pages)
- Receipts, invoices, IDs, contracts processing
- Tax forms and business cards support
- Pre-trained models included
- Best for: Common document types without custom training
- Custom Extraction: $30/user/mo ($30 per 1,000 pages)
- Custom model training
- Generative extraction capability
- First 10 hours training free, then $3/hour
- Best for: Organizations with unique document formats
- Commitment Tier: $375/user/mo (From $375 per month for 500K pages, up to $4,200/month for 8M pages)
- Discounted rate of $0.75 per 1,000 pages
- Best rate of $0.53 per 1,000 pages at 8M tier
- Fixed monthly fee for predictable costs
- Best for: High-volume enterprise deployments with predictable usage
Azure Cost Breakdown (Real Numbers)
Azure Document Intelligence runs $15-$300 per month at 10,000 pages and $150-$3,000 per month at 100,000 pages, then the commitment tier slashes 1-million-page costs from $1,500 (pay-as-you-go) to $530 per month - a 65% discount, but locked into a fixed monthly volume regardless of actual usage.
Azure is the right fit for teams already on Microsoft Azure, Power Platform, or Dynamics 365, anyone needing prebuilt invoice/receipt/contract models, and orgs with predictable monthly volumes that can commit to a tier. AI Builder’s Power Platform integration is the deciding factor for low-code document workflows.
What Do Real-World Document AI Costs Look Like Across Different Scenarios?
Real-world document AI costs range from $10 per month for a small-business batch workload on Mistral to $50,000 per month for the same enterprise volume on AWS Textract with forms and tables enabled. This document AI cost comparison reveals four scenario brackets:
| Scenario | Mistral OCR 3 (batch) | Azure | AWS Textract | Winner | |
|---|---|---|---|---|---|
| Small Business: 10K pages, forms + tables | $10/mo | $100/mo | $100/mo | $650/mo | Mistral (90-98% savings) |
| Mid-Market: 100K pages, custom extraction | $100/mo | $3,000/mo | $3,000/mo | $6,500/mo | Mistral (97-98% savings) |
| Enterprise: 1M pages, complex docs | $1,000/mo | $3,150/mo (commit) | $25,000/mo | $50,000/mo | Mistral (68-98% savings) |
| Enterprise: 1M pages, basic OCR only | $1,000/mo | $530/mo (commit) | $1,200/mo | $1,200/mo | Azure commitment tier |
This document AI cost comparison makes the pattern clear: Mistral OCR 3 dominates for complex document processing, Azure wins for basic OCR at enterprise scale with commitment pricing, and AWS and Google justify their premiums only through ecosystem lock-in.
When to Choose Each Platform
Choose Mistral OCR 3 for the lowest per-page price across mixed workloads, Google Document AI for layout-critical extraction inside Google Cloud, AWS Textract for AWS-native simple OCR, and Azure Document Intelligence for committed-volume enterprise OCR or Microsoft-ecosystem workflows. The recommendations below break that down by use case.
Choose Mistral OCR 3 if you need:
- Best value for money across all document types
- High-volume processing (100K+ pages monthly) or batch workflows tolerant of minor delays
- Complex documents (forms, tables, handwriting) without premium pricing
- Multilingual accuracy (99%+ across 90+ languages)
Choose Google Document AI if you need:
- Best layout preservation for downstream LLM processing
- Integration with Google Cloud Platform (BigQuery, Vertex AI)
- Custom few-shot training or exceptional accuracy on poor-quality scans
Choose AWS Textract if you need:
- Tight AWS ecosystem integration (S3, Lambda, Bedrock)
- Simple text extraction at scale or the Analyze Lending API for mortgage workflows
Choose Azure Document Intelligence if you need:
- Microsoft ecosystem integration (Power Platform, Dynamics 365)
- Commitment tier discounts for predictable volumes
- Prebuilt invoice/receipt/contract models or fastest custom training (30 minutes)
The Bottom Line
Mistral OCR 3 delivers the best value across most document processing workloads, with 97% savings versus AWS Textract and 93% versus Google Document AI on identical forms-and-tables workloads. For a mid-market company processing 100,000 invoices monthly, switching from AWS Textract to Mistral OCR 3 saves $76,800 annually - budget for an entire FTE redirected from cloud bills to productive work.
Recommendation:
- High-volume workloads (100K+ pages): Mistral OCR 3 batch processing at $1 per 1,000 pages
- Enterprise basic OCR (1M+ pages): Azure Document Intelligence commitment tier at $0.53 per 1,000 pages
- Complex layouts + GCP ecosystem: Google Document AI custom extractors
- AWS-native applications: AWS Textract only if already on AWS infrastructure
Our methodology: this comparison is based on each vendor’s published pricing pages and product documentation as of May 2026, cross-checked against the Gartner Intelligent Document Processing Market Guide and the official Mistral AI Documentation rather than sponsored placement. Start with the free tiers to validate accuracy on your specific documents, then run a 30-day cost analysis with real production volumes.
FAQ
Document AI cost questions cluster around per-page pricing, free tiers, and which platform wins for forms versus plain text - the answers below cover the highest-volume queries from the document AI pricing calculator searches.
Q: How much does Document AI cost per page?
Document AI per-page pricing ranges from $0.0015 (AWS Textract and Azure basic OCR) up to $0.065 (AWS Textract forms-and-tables), with Mistral OCR 3 flat at $0.001-$0.002 across all document types.
Q: Which AI is best for free AI document analysis?
Azure Document Intelligence’s free tier (500 pages per month, ongoing) is the strongest option for sustained free AI document analysis, beating AWS Textract’s 3-month limit and Google’s one-time $300 credit.
Q: What is the best document processing AI for cost?
Mistral OCR 3 is the best-value document processing AI for cost, charging $1-$2 per 1,000 pages regardless of complexity, versus $10-$65 per 1,000 pages on the hyperscalers for forms-and-tables workloads.
Related Reads
Related reads cover the four document AI cost comparison platforms profiled above plus deeper OCR-tool roundups for readers shopping the broader category. Tools covered in this article:
- Mistral OCR - AI-powered document processing
- Google Document AI - Google’s OCR platform
- AWS Textract - Amazon’s document extraction
- Azure Document Intelligence - Microsoft’s OCR solution
More document processing guides:
- Best OCR Software 2026 - OCR tools compared
- Best AI OCR Tools - AI-powered OCR platforms
- Document Automation Guide - Complete automation guide
External Resources
External resources for this document AI cost comparison are the four vendors’ own pricing pages, which are the only authoritative sources for current per-page rates and commitment-tier discounts. For official documentation and updates from these tools:
- Mistral OCR - Official website
- Google Document AI - Official website
- AWS Textract - Official website
- Azure Document Intelligence - Official website