amazon-textract-textractor
A package to use AWS Textract services.
Decision gist · record as of 2026-08-14
Yes. Textractor is actively maintained, has no known vulnerabilities, installs with low friction, and is permissively licensed. It is the standard Python interface to Textract and well-suited for document extraction workflows. The main consideration is AWS account setup and API costs—not a blocker for most use cases, but verify your budget and credential configuration before deploying.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires AWS credentials configured (via profile_name or environment variables) and an active AWS account; Textract API calls incur charges.
- Low friction installation with a pure-Python wheel and five straightforward runtime dependencies.
- Actively maintained with a release 3 days old and recent commits; supports modern Python versions 3.10 through 3.14.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0 (permissive), allowing free use, modification, and distribution in both open and proprietary projects with minimal restrictions.
last release 2026-08-11 (3 days) · last repo commit 2026-08-11 · 491 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 843,823 downloads/mo, #4,924 on PyPI
Alternatives
Verify before relying
pip install amazon-textract-textractor
from textractor import Textractor
extractor = Textractor(profile_name="default")
document = extractor.detect_document_text(file_source="image.png")
print(document.lines)- Whether fuzzy matching via rapidfuzz is used by default or requires explicit configuration
- Performance characteristics when processing large batches or high-resolution PDFs
- Whether the CLI tool is included in the base install or requires extras
What it is and what it does
Textractor is a Python wrapper around Amazon Textract, AWS's document intelligence service. It simplifies calling Textract APIs and parsing responses for text recognition, table extraction, form processing, identity document analysis, and receipt/expense processing. The package handles both single documents and batch workflows, supports multiple input formats (images, PDFs, S3 paths, bytes), and provides a fluent interface for accessing extracted data.
The core library is minimal and lambda-friendly by default, with optional extras for pandas DataFrames, PDF rasterization (via pypdfium2 or pdf2image), and machine-learning-based word search (via sentence_transformers). It depends on Pillow for image handling, XlsxWriter for table export, amazon-textract-caller for API calls, rapidfuzz for fuzzy matching, and tabulate for formatted output. Requires Python 3.10 or later and active AWS credentials.
Use it for
- Extract structured text and tables from scanned invoices or receipts for accounting automation
- Parse form fields from application documents with fuzzy key matching to handle label variations
- Batch-process identity documents to extract and validate personal information fields
- Convert PDF documents to searchable text and structured tables for downstream analysis
- Build document processing pipelines that combine Textract with custom business logic
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Textractor is actively maintained, has no known vulnerabilities, installs with low friction, and is permissively licensed. It is the standard Python interface to Textract and well-suited for document extraction workflows. The main consideration is AWS account setup and API costs—not a blocker for most use cases, but verify your budget and credential configuration before deploying.
Install
amazon-textract-textractor on PyPI
Before you install
Low friction installation with a pure-Python wheel and five straightforward runtime dependencies. Actively maintained with a release 3 days old and recent commits; supports modern Python versions 3.10 through 3.14.
Requires AWS credentials configured (via profile_name or environment variables) and an active AWS account; Textract API calls incur charges.
License in practice
Licensed under Apache 2.0 (permissive), allowing free use, modification, and distribution in both open and proprietary projects with minimal restrictions.
Quickstart
pip install amazon-textract-textractor
from textractor import Textractor
extractor = Textractor(profile_name="default")
document = extractor.detect_document_text(file_source="image.png")
print(document.lines)Verify before relying
- Whether fuzzy matching via rapidfuzz is used by default or requires explicit configuration
- Performance characteristics when processing large batches or high-resolution PDFs
- Whether the CLI tool is included in the base install or requires extras
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesPillowXlsxWriteramazon-textract-callerrapidfuzztabulate |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 843,823 / month, #4,924 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: amazon_textract_textractor-1.10.0-py3-none-any.whl
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