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Find the right AI tool in 2 minutes. Independent reviews and honest comparisons of 770+ AI tools.

  1. Home
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  3. Amazon Textract
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Document Processing
T

Amazon Textract

AWS document processing service that extracts text, tables, forms, and structured data from scanned documents and images using machine learning. Pay-per-page pricing starting at $0.0015/page for OCR.

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In Plain English

Amazon's document reading service that extracts text, tables, and form data from scanned documents automatically.

OverviewFeaturesPricingUse CasesLimitationsFAQSecurityAlternatives

Overview

Amazon Textract is AWS's document intelligence service that goes beyond basic OCR to extract structured data from documents using machine learning. It reads printed text, handwriting, tables, and form key-value pairs without requiring templates or custom configuration.

The service includes specialized models for invoices (AnalyzeExpense), identity documents (AnalyzeID), and mortgage documents (AnalyzeLending) that understand domain-specific formats and fields. Each model extracts the specific data types relevant to that document category.

Textract processes documents stored in S3 and delivers structured JSON output with bounding box coordinates and confidence scores for every extracted element. The asynchronous API handles documents up to 3,000 pages as background jobs with SNS notifications on completion. The synchronous API processes single pages in real-time for interactive applications.

Handwriting recognition sets Textract apart from many competitors. It accurately extracts handwritten notes, filled forms, and annotations that appear alongside printed text. Healthcare organizations, financial services firms, and government agencies use this for digitizing paper records where handwriting is common.

The JSON output format includes bounding boxes for every detected element, which is useful for document visualization but requires significant post-processing to feed into LLM or RAG applications that expect plain text. Teams building document AI pipelines often need a transformation layer between Textract output and their downstream systems.

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Key Features

Multi-Mode Document Extraction+

Multiple extraction APIs tuned for different document types: basic OCR (DetectDocumentText), structured analysis (AnalyzeDocument for tables and forms), and domain-specific models (AnalyzeExpense, AnalyzeID, AnalyzeLending). Each mode is priced separately so you pay only for the extraction depth you need.

Use Case:

An accounts payable team uses AnalyzeExpense at $0.01/page for invoices requiring vendor and line-item extraction, while using basic OCR at $0.0015/page for general correspondence that only needs text content.

Table Extraction with Structure Preservation+

Identifies table boundaries, rows, columns, merged cells, and cell relationships. Preserves the spatial structure of tables as structured data rather than flattening them into unstructured text.

Use Case:

A financial analyst extracts quarterly earnings tables from PDF reports. Textract preserves row-column relationships, merged header cells, and numeric formatting so the data imports directly into spreadsheets without manual cleanup.

Handwriting Recognition+

Extracts handwritten text alongside printed content with high accuracy. Works on forms, notes, annotations, and signatures common in healthcare, legal, and government documents.

Use Case:

A healthcare system digitizes patient intake forms where doctors write notes in the margins. Textract extracts both the printed form fields and handwritten annotations into structured data.

Asynchronous Batch Processing+

Processes multi-page documents up to 3,000 pages as background jobs. Documents are uploaded to S3, processing runs asynchronously, and completion notifications arrive via SNS. Handles variable workloads without provisioning infrastructure.

Use Case:

A law firm uploads 500-page contracts to S3. Textract processes them in the background and triggers a Lambda function via SNS when extraction completes, adding results to a searchable DynamoDB index.

Pricing Plans

Free Tier (3 months)

Free

  • ✓1,000 pages/month DetectDocumentText API
  • ✓100 pages/month AnalyzeDocument API
  • ✓100 pages/month AnalyzeExpense API
  • ✓100 pages/month AnalyzeID API

DetectDocumentText (Basic OCR)

$0.0015/page

  • ✓Text extraction from documents and images
  • ✓Word and line-level confidence scores
  • ✓Bounding box coordinates for all detected text
  • ✓Multi-language support

AnalyzeDocument - Tables

$0.015/page

  • ✓Table structure with rows, columns, and merged cells
  • ✓Cell content and relationship extraction
  • ✓Compatible with Layout extraction (free when combined)

AnalyzeDocument - Forms

$0.05/page

  • ✓Automatic key-value pair detection without templates
  • ✓Checkbox and selection element identification
  • ✓Field label and value relationship mapping

AnalyzeExpense

$0.01/page

  • ✓Vendor name and address extraction
  • ✓Line items with quantities and prices
  • ✓Tax, total, and payment information

AnalyzeID

$0.025/page

  • ✓Driver license and ID card processing
  • ✓Name, address, document number extraction
  • ✓Expiration date and issuing authority

AnalyzeLending

$0.07/page

  • ✓Loan document classification
  • ✓Financial data and mortgage field extraction
  • ✓Regulatory compliance support
See Full Pricing →Free vs Paid →Is it worth it? →

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Best Use Cases

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AWS-native document processing pipelines leveraging S3, Lambda, and SNS for automated extraction workflows

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High-volume OCR operations requiring pay-per-page pricing without upfront costs or minimum commitments

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Invoice and expense processing with automatic vendor, line-item, and total extraction using AnalyzeExpense

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Healthcare and legal document digitization projects requiring handwriting recognition alongside printed text

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Form processing and data extraction with automatic key-value detection, no template configuration needed

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Amazon Textract doesn't handle well:

  • ⚠No custom model training available, limiting accuracy on unusual or organization-specific document formats
  • ⚠JSON output with bounding box coordinates requires transformation for downstream LLM and RAG applications
  • ⚠Complex nested table layouts with irregular structures may extract with lower accuracy than Azure Document Intelligence
  • ⚠Synchronous API processes only single pages; multi-page documents require S3 upload and async processing
  • ⚠AWS-only service with no self-hosted or on-premises deployment option

Pros & Cons

✓ Pros

  • ✓Pay-per-page pricing starting at $0.0015/page with volume discounts makes costs predictable and proportional to usage
  • ✓Seamless AWS ecosystem integration with S3, Lambda, SNS, and DynamoDB for automated document processing workflows
  • ✓Handwriting recognition accurately extracts mixed printed and handwritten content that many competitors miss
  • ✓Specialized extraction models for invoices, IDs, and lending documents understand domain-specific formats without configuration
  • ✓Asynchronous processing handles documents up to 3,000 pages as background jobs with automatic scaling
  • ✓No infrastructure management required: fully managed service with automatic scaling and high availability
  • ✓3-month free tier with 1,000 OCR pages/month lets teams evaluate the service before committing

✗ Cons

  • ✗No custom model training: limited to prebuilt extraction models, unlike Azure Document Intelligence which supports custom training
  • ✗JSON output with bounding boxes requires significant post-processing for LLM and RAG applications expecting plain text
  • ✗Table extraction accuracy for highly complex, nested layouts trails Azure Document Intelligence capabilities
  • ✗Synchronous API limited to single-page documents; multi-page processing requires S3 and async workflows
  • ✗AWS-only deployment with no on-premises option for organizations with strict data residency requirements

Frequently Asked Questions

How does Amazon Textract compare to Azure Document Intelligence?+

Textract offers better AWS integration and competitive pricing for basic OCR ($0.0015/page vs Azure's $0.001/page for read). Azure wins on custom model training (Textract has none) and complex table extraction accuracy. Choose based on your cloud provider. If you're on AWS, Textract integrates natively. If you need custom models for unusual document formats, Azure is the better choice.

What does the free tier include?+

New AWS customers get 3 months of free usage: 1,000 pages/month for basic OCR (DetectDocumentText), and 100 pages/month each for AnalyzeDocument, AnalyzeExpense, and AnalyzeID APIs. After the free tier expires, you pay per-page at standard rates.

Can Textract process handwritten text?+

Yes. Textract recognizes handwritten text alongside printed content. It works on filled forms, margin notes, and annotations. Accuracy varies by handwriting legibility, but it handles typical business documents well. This is a significant advantage over many competitors that only handle printed text.

How much does high-volume processing cost?+

Costs drop significantly at scale. Basic OCR falls from $0.0015 to $0.0006/page above 1M pages/month. Table extraction drops from $0.015 to $0.01/page. For a company processing 500,000 invoice pages monthly using AnalyzeExpense ($0.01/page), the monthly cost would be approximately $5,000.

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Alternatives to Amazon Textract

Azure AI Document Intelligence

Document Processing

Extract structured data from documents using AI models trained on your specific formats. Automates form processing, invoice extraction, and contract analysis with 95%+ accuracy through custom model training and 16+ prebuilt models.

Google Document AI

Document AI

Cloud document processing platform that automates data extraction and classification with industry-leading OCR accuracy. Processes invoices, receipts, forms, and custom document types to optimize document workflows and improve processing efficiency.

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Quick Info

Category

Document Processing

Website

aws.amazon.com/textract/
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