Document AI Toolbox
Document AI Toolbox: Document AI Toolbox aims to reduce the friction of managing, manipulating, and extracting information from outputs of Document AI
BatchProcessDocuments() (JSON files written to user-managed GCS buckets) and
ProcessDocument() methods, programmatically.
The Document AI Toolbox is in an experimental state. This library is a work-in-progress and is likely to have backwards-incompatible changes. Users of the toolbox might need to rewrite their code when upgrading the toolbox version.
In order to use this library, you first need to go through the following steps:
Enabling Document AI may not be technically required to use this library, unless
ProcessDocument() is intended to be used.
But you must enable the Storage API to access GCS buckets that contains the output of
You will need to enable the BigQuery API if you intend to use the BigQuery features.
Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.
With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.
Code samples and snippets
Code samples and snippets live in the samples/ folder.
Supported Python Versions
Python >= 3.7
Unsupported Python Versions
Python <= 3.6
If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.
pip install virtualenv virtualenv <your-env> source <your-env>/bin/activate <your-env>/bin/pip install google-cloud-documentai-toolbox
pip install virtualenv virtualenv <your-env> <your-env>\Scripts\activate <your-env>\Scripts\pip.exe install google-cloud-documentai-toolbox