amazon-textract-caller
Amazon Textract Caller tools
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive license, and solves a real friction point in Textract integration. It is well-suited for teams already using AWS and needing to extract text or structured data from documents. No security vulnerabilities are known. Install if you are building document-processing workflows on AWS; skip if you do not use Textract or prefer direct boto3 calls.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires AWS credentials configured for boto3 to authenticate with Amazon Textract service.
- Low friction install with three runtime dependencies (boto3, botocore, amazon-textract-response-parser).
- Repository is actively maintained with recent commits and moderate GitHub presence (491 stars).
License · maintenance · safety
Apache License Version 2.0 (permissive) — Apache License Version 2.0 is permissive, allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects.
last release 2024-06-20 (785 days) · last repo commit 2026-08-11 · 491 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 911,695 downloads/mo, #4,743 on PyPI
Alternatives
Verify before relying
pip install amazon-textract-caller
from amazon_textract_caller import call_textract
textract_json = call_textract(input_document="/path/to/file.png")- Whether the package handles all document formats that Textract supports or has limitations on file types.
- Performance characteristics and latency for large documents or high-volume extraction workloads.
- Exact retry and error-handling behavior for failed Textract API calls.
What it is and what it does
amazon-textract-caller is a Python wrapper that simplifies calling Amazon Textract, AWS's document analysis service. It abstracts away the complexity of choosing between synchronous and asynchronous APIs, handling file uploads to S3, and managing job polling. The package accepts documents from local filesystems or S3 buckets and returns structured JSON responses containing extracted text, tables, forms, and other document elements.
The wrapper supports Textract features like table detection, document queries, and custom adapters for specialized document types. It integrates with boto3 and botocore for AWS authentication and works alongside amazon-textract-response-parser for post-processing results. Most use cases involve a single call with a document path and optional feature flags, making it practical for rapid prototyping and production document-processing pipelines.
Use it for
- Extract text and tables from scanned invoices or receipts stored in S3 for automated expense processing.
- Query multi-page documents to extract specific fields like employee SSN or gross pay from forms.
- Build a batch document ingestion pipeline that processes local PDFs and images without manual API management.
- Detect and extract structured data from forms with known layouts using table and form detection.
- Retrieve asynchronous job results with automatic polling instead of manual job-status checks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive license, and solves a real friction point in Textract integration. It is well-suited for teams already using AWS and needing to extract text or structured data from documents. No security vulnerabilities are known. Install if you are building document-processing workflows on AWS; skip if you do not use Textract or prefer direct boto3 calls.
Install
amazon-textract-caller on PyPI
Before you install
Low friction install with three runtime dependencies (boto3, botocore, amazon-textract-response-parser). Repository is actively maintained with recent commits and moderate GitHub presence (491 stars).
Requires AWS credentials configured for boto3 to authenticate with Amazon Textract service.
License in practice
Apache License Version 2.0 is permissive, allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects.
Quickstart
pip install amazon-textract-caller
from amazon_textract_caller import call_textract
textract_json = call_textract(input_document="/path/to/file.png")Verify before relying
- Whether the package handles all document formats that Textract supports or has limitations on file types.
- Performance characteristics and latency for large documents or high-volume extraction workloads.
- Exact retry and error-handling behavior for failed Textract API calls.
Package facts
| License | Apache License Version 2.0 permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesboto3botocoreamazon-textract-response-parser |
| Maintenance | Actively maintained 785 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 911,695 / month, #4,743 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Utilities |
Evidence: amazon_textract_caller-0.2.4-py2.py3-none-any.whl
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See also amazon-textract-response-parser · amazon-textract-textractor · textract · types-boto3-textract · pdftotext · liteparse · kreuzberg · mypy-boto3-textract · types-aiobotocore-textract · unstructured.pytesseract