Pricing Breakdown
AWS Textract uses a pay-per-page model with no monthly subscriptions. Basic text extraction costs $0.0015 per page for the first million pages, dropping to $0.0006 at high volumes. Specialized APIs for tables, forms, and queries range from $0.015 to $0.065 per page. The free tier offers 1,000 pages monthly for 3 months to new AWS customers.
- 1,000 pages/month via Detect Document Text API for 3 months
- Available to new AWS customers only
- Basic OCR text and handwriting extraction
- OCR technology for text and handwriting extraction
- Pay-as-you-go model
- Volume discounts after 1M pages
- Only charged for successfully processed pages
- Forms feature: key-value pair extraction
- Tables feature: structured data extraction (Layout feature free with Tables)
- Queries feature: custom question-based extraction
- Signatures feature: signature detection
- Multiple features can be combined (charges apply for each)
AWS Textract Document Processing ROI Calculator
- 60% time reduction based on BGL Australia case study (100-150 hours saved/year)
- 5x processing speed improvement from AWS internal benchmarks
- Pricing varies: $0.0015/page basic, $0.015-$0.065/page for specialized APIs
Feature Analysis
Textract combines pre-trained ML models with specialized APIs for different document types. Unlike competitors requiring custom training, you can start processing documents immediately using Analyze Expense for invoices, Analyze ID for identity verification, or Analyze Lending for mortgage workflows.
Text Extraction Accuracy
8.9/10 accuracy rating on G2 with 2025 improvements for superscripts, subscripts, and rotated text
Table & Form Processing
Strong structured data extraction with free Layout feature included with Tables API
Specialized Document APIs
Purpose-built APIs for expenses, IDs, and lending documents reduce custom development
AWS Integration
Native integration with S3, Lambda, Step Functions, Bedrock, and Augmented AI for human review
Custom Model Training
Requires minimum 10 samples vs Azure's 6; less flexible than Google's custom processors
Mobile Capability
Limited mobile support (6.7/10 on G2) compared to cloud-first competitors
The Honest Truth
- Seamless AWS Integration - Native connections to S3, Lambda, Step Functions, and Bedrock enable serverless document workflows
- No Custom Training Required - Pre-trained models work immediately for invoices, receipts, IDs, and lending documents
- Aggressive Volume Pricing - Costs drop to $0.0006/page at scale, making it cost-effective for high-volume processing
- 2025 Accuracy Improvements - Better handling of rotated text, superscripts, and low-resolution documents like faxes
- AWS Lock-in - Deep AWS integration makes migration difficult if you switch cloud providers
- Limited Custom Training - Requires 10+ samples for custom queries vs Azure's 6; less flexible for unique document types
- Weak Mobile Support - 6.7/10 mobile capability score on G2 limits use in field-based workflows
Who Should Use This
Invoice & Expense Processing
Analyze Expense API extracts line items, totals, and vendor data from invoices and receipts with purpose-built accuracy
Best FitLoan Document Automation
Analyze Lending API automatically classifies, splits, and extracts data from multi-page mortgage packages in one step
Best FitIdentity Verification (KYC)
Analyze ID API processes passports, driver licenses, and IDs for automated identity verification workflows
Best FitAWS-Native Workflows
Organizations already using S3, Lambda, and Step Functions get native integration without additional setup
Good FitCustom Document Types
Teams needing highly customized ML models may find Azure or Google's training requirements more flexible
Not IdealMobile-First Workflows
Field workers scanning documents on mobile devices will encounter limited mobile capability
Not Idealvs. Competition
Frequently Asked Questions
Final Verdict
The AWS Ecosystem's Document Processing Powerhouse
AWS Textract delivers enterprise-grade document processing with best-in-class AWS integration and specialized APIs for invoices, IDs, and lending documents. If you're already in the AWS ecosystem processing 200K+ pages monthly, Textract's pay-per-page model and native Lambda/S3 integration make it the obvious choice. For teams needing extensive custom training or working outside AWS, consider Azure or Google Document AI instead.
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