Amazon Textract vs Google Document AI

Detailed side-by-side comparison to help you choose the right tool

Amazon Textract

🔴Developer

Document Processing

AWS document intelligence service that extracts text, tables, forms, and handwriting from scanned documents using machine learning — with specialized APIs for invoices, IDs, and lending documents.

Was this helpful?

Starting Price

Free tier
Full ReviewVisit Site

Google Document AI

🔴Developer

Document Processing AI

Cloud document processing for classification and entity extraction. This document ai provides comprehensive solutions for businesses looking to optimize their operations.

Was this helpful?

Starting Price

Contact
Full ReviewVisit Site

Feature Comparison

Scroll horizontally to compare details.

FeatureAmazon TextractGoogle Document AI
CategoryDocument ProcessingDocument Processing AI
Pricing Plans11 tiers11 tiers
Starting PriceFree tierContact
Key Features
    • • Workflow Runtime
    • • Tool and API Connectivity
    • • State and Context Handling

    Amazon Textract - Pros & Cons

    Pros

    • ✓Deep AWS ecosystem integration with S3, Lambda, SNS for automated pipelines
    • ✓Strong handwriting recognition that outperforms many competitors
    • ✓Highly competitive per-page pricing at scale ($0.0006/page after 1M pages)
    • ✓Specialized APIs for invoices, IDs, and lending reduce custom development
    • ✓Fully managed — no infrastructure to maintain, automatic scaling
    • ✓Handles documents up to 3,000 pages via async processing
    • ✓Free tier available for evaluation and small-scale use

    Cons

    • ✗No custom model training — limited to prebuilt extraction capabilities
    • ✗JSON output requires significant preprocessing for LLM and RAG applications
    • ✗Table extraction accuracy trails Azure Document Intelligence on complex layouts
    • ✗Synchronous API limited to single pages — multi-page requires S3 and async
    • ✗Form extraction at $0.05/page can get expensive at moderate volumes
    • ✗AWS lock-in — tightly coupled with S3, Lambda, and other AWS services

    Google Document AI - Pros & Cons

    Pros

    • ✓Industry-leading OCR accuracy leveraging Google's text recognition technology from Lens and Photos
    • ✓Semantic entity extraction that understands document types and field relationships, not just key-value pairs
    • ✓Processor-based architecture makes it easy to add specialized document understanding without custom training
    • ✓Competitive free tier (1,000 pages/month) for evaluation and small-scale production

    Cons

    • ✗Google Cloud dependency with significant setup overhead (project creation, API enablement, IAM configuration)
    • ✗SDK support is primarily Python and Node.js — less multi-language coverage than Azure's document services
    • ✗Documentation organization and example quality has historically lagged behind Azure and AWS equivalents

    Not sure which to pick?

    🎯 Take our quiz →

    🔒 Security & Compliance Comparison

    Scroll horizontally to compare details.

    Security FeatureAmazon TextractGoogle Document AI
    SOC2✅ Yes✅ Yes
    GDPR✅ Yes✅ Yes
    HIPAA✅ Yes✅ Yes
    SSO✅ Yes✅ Yes
    Self-Hosted❌ No❌ No
    On-Prem❌ No❌ No
    RBAC✅ Yes✅ Yes
    Audit Log✅ Yes✅ Yes
    Open Source❌ No❌ No
    API Key Auth✅ Yes✅ Yes
    Encryption at Rest✅ Yes✅ Yes
    Encryption in Transit✅ Yes✅ Yes
    Data ResidencyUS, EU, ASIAUS, EU, ASIA
    Data Retentionconfigurableconfigurable
    🦞

    New to AI tools?

    Learn how to run your first agent with OpenClaw

    Learn OpenClaw →
    🔔

    Price Drop Alerts

    Get notified when AI tools lower their prices

    Tracking 2 tools

    We only email when prices actually change. No spam, ever.

    Get weekly AI agent tool insights

    Comparisons, new tool launches, and expert recommendations delivered to your inbox.

    No spam. Unsubscribe anytime.

    Ready to Choose?

    Read the full reviews to make an informed decision

    Review Amazon TextractReview Google Document AI