Amazon Textract — Technology Profile & Architecture

Core Information

#core_information

Name, description, vendor website, logo, technology type and tags.

Overview & Role

Extracts text, forms and tables from scanned documents.

Domain Classification & Tags

AI/ML

Performance Profile

#performance_profile

Typical read and write throughput, payload size and processing latency.

Read Performance Profile

Throughput: Varies significantly by document complexity and features used (e.g., AnalyzeDocument, StartDocumentAnalysis). For simple OCR, potentially hundreds to thousands of pages per minute. For complex forms/tables, significantly lower, perhaps tens to hundreds of pages per minute.

Payload Size: Up to 500 MB for synchronous operations (single page), up to 500 MB for asynchronous operations (multi-page document, e.g., PDF). Typical documents range from 100 KB to 50 MB.

Processing Latency: Synchronous operations: 1-5 seconds for simple single-page documents, 5-30 seconds for complex single-page documents. Asynchronous operations: Minutes to tens of minutes for multi-page documents (e.g., 100+ page PDFs), depending on document complexity and queueing.

Write Performance Profile

Throughput: N/A (Textract is a document analysis service, not a data storage/write service)

Payload Size: N/A

Processing Latency: N/A

Architecture Diagram

#architecture_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

open_in_new Standalone Tab

Features

#features

Catalogued product capabilities and what each one does.

Empirical data for features is currently being compiled in the global catalog.

Typical Use Cases

#typical_use_cases

Scenarios the technology is commonly chosen for.

Empirical data for typical use cases is currently being compiled in the global catalog.

Known Customers

#known_customers

Publicly referenced organisations using the technology.

Empirical data for known customers is currently being compiled in the global catalog.

Known Integrations

#known_integrations

Other products and services it is documented to work with.

Empirical data for known integrations is currently being compiled in the global catalog.

Connectors

#connectors

Directional data connections to other technologies, with direction and maturity.

Empirical data for connectors is currently being compiled in the global catalog.

Reference Architectures

#reference_architectures

Published architectures where the technology is used or mentioned.

No published reference architecture blueprints currently link to Amazon Textract.

Security Features

#security_features

Built-in security and access-control capabilities.

Empirical data for security features is currently being compiled in the global catalog.

Known Issues

#known_issues

Documented limitations, defects and operational pitfalls.

Empirical data for known issues is currently being compiled in the global catalog.

Guidelines

#guidelines

Recommended practices for adopting and operating the technology.

Empirical data for guidelines is currently being compiled in the global catalog.

Standards & Compliance

#standards_and_compliance

Standards, certifications and control requirements it maps to.

Empirical data for standards & compliance is currently being compiled in the global catalog.

Sources

#sources

Documentation and research references behind the recorded information.

Empirical data for sources is currently being compiled in the global catalog.

Expert Validation

#expert_validation

Whether domain experts reviewed and confirmed the content.

Empirical data for expert validation is currently being compiled in the global catalog.