Release v0.4.1 (What’s new?).

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Welcome to aws_textract_pipeline Documentation

This project is a low-level implementation of the “Data Store Pipeline” component described in the Intelligent Document Processing Platform Solution Design solution.

The term “low-level implementation” implies that this implementation does not rely on AWS services and performs pure in-memory computations. This implementation can be deployed on any platform and is not limited to the AWS ecosystem. It can be deployed as a batch job using virtual machines or containers, or it can be used for real-time processing with an event-driven architecture.

See usage example at test_pipeline.py.

Install

aws_textract_pipeline is released on PyPI, so all you need is to:

$ pip install aws-textract-pipeline

To upgrade to latest version:

$ pip install --upgrade aws-textract-pipeline

Table of Content

• Code Architecture Design

About the Author

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Sanhe Hu is a seasoned software engineer with a deep passion for Python development since 2010. As an author and maintainer of 20+ open-source projects, I bring a wealth of experience to the table. As a Senior Solution Architect and Subject Matter Expert in Amazon Web Services, Cloud Engineering, DevOps, Big Data, and Machine Learning, I thrive on helping clients with platform design, enterprise architecture, and strategic roadmaps.

Talk is cheap, show me the code:

• My Github: https://github.com/MacHu-GWU

API Document

• by Name

• by Structure