google-cloud-vision

Google Cloud Vision API client library

google-cloud-vision Permissive license Apache-2.0 Active ★ 5,370 v3.15.0 released 2026-06-22

Install

google-cloud-vision on PyPI

pip

pip install google-cloud-vision

uv

uv add google-cloud-vision

poetry

poetry add google-cloud-vision

Package facts

License	Apache-2.0 (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	5 — google-api-core, google-auth, grpcio, proto-plus, protobuf
Maintenance	actively maintained — 52 days since the last release
Last repo commit	2026-08-13
First released	2016-09-29
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: google_cloud_vision-3.15.0-py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet

About google-cloud-vision

from the package's own PyPI description — quoted content, verbatim

Python Client for Cloud Vision

Cloud Vision_: Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.

Client Library Documentation_
Product Documentation_

.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels .. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-vision.svg :target: https://pypi.org/project/google-cloud-vision/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-vision.svg :target: https://pypi.org/project/google-cloud-vision/ .. _Cloud Vision: https://cloud.google.com/vision/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/vision/latest/summary_overview .. _Product Documentation: https://cloud.google.com/vision/

Quick Start

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

Select or create a Cloud Platform project._
`Enable...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Python client library for Google Cloud Vision API, enabling image analysis including labeling, face/logo/landmark detection, OCR, and explicit content detection.

Low friction install with five well-maintained Google Cloud dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf). Active maintenance with latest release 52 days ago and 5370 repository stars.

Apache-2.0 permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.

Usage

pip install google-cloud-vision

from google.cloud import vision

client = vision.ImageAnnotatorClient()
image = vision.Image(source=vision.ImageSource(gcs_image_uri='gs://bucket/image.jpg'))
response = client.annotate_image({'image': image, 'features': [{'type_': vision.Feature.Type.LABEL_DETECTION}]})

Requires Google Cloud project with Vision API enabled, valid authentication credentials (via GOOGLE_APPLICATION_CREDENTIALS or Application Default Credentials), and Python >= 3.10.

Verdict: Production-stable Google-backed library with active maintenance, low install friction, and permissive licensing. Requires GCP project setup and authentication but is well-suited for applications needing image analysis at scale.

Needs verification

Whether gRPC system dependencies (libgrpc) require compilation or pre-built wheels on all target platforms
Specific latency/throughput characteristics for batch image processing workloads
Cost implications and quota limits for different Vision API feature types under typical usage

google cloud vision api pythonimage labeling and detectionocr optical character recognitionface detection pythongoogle vision client librarylandmark detection apicontent moderation image analysis