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Showing content from https://cloud.google.com/python/docs/reference/vision/2.4.4/google.cloud.vision_v1p2beta1 below:

Python client library | Google Cloud

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The Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., “sailboat”, “lion”, “Eiffel Tower”), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage.

• Client Library Documentation

• Product Documentation

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Google Cloud Vision API.

4. Setup Authentication.

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.

Python >= 3.6

Python == 2.7.

The last version of this library compatible with Python 2.7 is google-cloud-vision==1.0.0.

Note: Raspberry Pi ARMv6 is not supported because there is an internal binary google that does not comply with armv6 processors.

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-vision

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-vision

from google.cloud import vision

client = vision.ImageAnnotatorClient()
response = client.annotate_image({
  'image': {'source': {'image_uri': 'gs://my-test-bucket/image.jpg'}},
  'features': [{'type_': vision.Feature.Type.FACE_DETECTION}]
})

• Read the Client Library Documentation for Google Cloud Vision API to see other available methods on the client.

• Read the Product documentation to learn more about the product and see How-to Guides.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

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