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------
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Welcome to ``aws_textract_pipeline`` Documentation
==============================================================================
.. image:: https://aws-textract-pipeline.readthedocs.io/en/latest/_static/aws_textract_pipeline-logo.png
:target: https://aws-textract-pipeline.readthedocs.io/en/latest/
This project is a low-level implementation of the "Data Store Pipeline" component described in the `Intelligent Document Processing Platform Solution Design <https://dev-exp-share.readthedocs.io/en/latest/search.html?q=Intelligent+Document+Processing+Platform+Solution+Design&check_keywords=yes&area=default>`_ 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 <https://github.com/MacHu-GWU/aws_textract_pipeline-project/blob/main/debug/test_pipeline.py>`_.
.. _install:
Install
------------------------------------------------------------------------------
``aws_textract_pipeline`` is released on PyPI, so all you need is to:
.. code-block:: console
$ pip install aws-textract-pipeline
To upgrade to latest version:
.. code-block:: console
$ pip install --upgrade aws-textract-pipeline
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