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.
Disclaimer
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.
Quick Start
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 BatchProcessDocument(). You will need to enable the BigQuery API if you intend to use the BigQuery features.
Installation
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
Our client libraries are compatible with all current active and maintenance versions of Python.
Python >= 3.10
Unsupported Python Versions
Python <= 3.9
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.
Mac/Linux
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-documentai-toolboxWindows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-documentai-toolboxNext Steps
Read the Document AI product documentation to learn more about the product and see How-to Guides.
Read the Client Library Documentation for Document AI Toolbox to see other available methods on the client.
View this README to see the full list of Cloud APIs that we cover.
2 maintainers
Metadata
2 maintainers
Release files for google-cloud-documentai-toolbox 0.17.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| google_cloud_documentai_toolbox-0.17.4.tar.gz | 24.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| google_cloud_documentai_toolbox-0.17.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.4 MB
Release files / google_cloud_documentai_toolbox-0.17.4.tar.gz
| Download URL | google_cloud_documentai_toolbox-0.17.4.tar.gz |
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| Size | 24.3 MB |
| Tags | Source |
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Transparency logRelease files / google_cloud_documentai_toolbox-0.17.4-py3-none-any.whl
| Download URL | google_cloud_documentai_toolbox-0.17.4-py3-none-any.whl |
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| Size | 43.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.11.2
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by Google Cloud, verified by PyPI on Sep 29, 2026.
Transparency log
