google-cloud-vision
Google Cloud Vision API client library
Decision gist · record as of 2026-08-14
Yes. The package is production-stable, actively maintained, has no known vulnerabilities, and low installation friction. It is the canonical way to use Google Cloud Vision from Python. Install it if you need image analysis capabilities backed by Google's trained models and can provision a Google Cloud project with appropriate credentials.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud project setup, billing enabled, Cloud Vision API enabled, and authentication credentials (service account key or Application Default Credentials).
- Low friction installation via pip with a pure-Python wheel.
- The package is actively maintained with recent releases and depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 86,196,382 downloads/mo, #391 on PyPI
Alternatives
Verify before relying
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.label_detection(image=image)- Whether the package handles rate limiting or quota management automatically or requires explicit handling.
- Performance characteristics and latency for batch image processing operations.
- Whether all Vision API features (e.g., web detection, safe search) are fully exposed in this client version.
What it is and what it does
This package is the official Python client for Google Cloud Vision API, a managed service that performs image analysis at scale. It wraps the Vision API's gRPC endpoints and exposes methods for detecting objects, faces, text, landmarks, logos, and explicit content in images stored locally or in Google Cloud Storage. The library handles authentication, request serialization, and response parsing, so you can focus on image analysis logic rather than API plumbing.
The package depends on google-api-core for common client patterns, google-auth for credential management, grpcio for transport, and proto-plus and protobuf for message handling. It requires Python 3.10 or later and is actively maintained by Google. Setup requires a Google Cloud project with billing enabled and the Vision API activated; authentication is typically handled via Application Default Credentials or a service account key.
Use it for
- Extract text from images or scanned documents using OCR for data entry automation or document digitization.
- Label and categorize images in bulk for content organization, search indexing, or inventory management.
- Detect faces in photos to enable face-based authentication, photo organization, or demographic analysis.
- Identify logos and landmarks in images for brand monitoring, tourism apps, or location-based services.
- Flag explicit or adult content in user-uploaded images for content moderation and safety compliance.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is production-stable, actively maintained, has no known vulnerabilities, and low installation friction. It is the canonical way to use Google Cloud Vision from Python. Install it if you need image analysis capabilities backed by Google's trained models and can provision a Google Cloud project with appropriate credentials.
Install
google-cloud-vision on PyPI
Before you install
Low friction installation via pip with a pure-Python wheel. The package is actively maintained with recent releases and depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).
Requires Google Cloud project setup, billing enabled, Cloud Vision API enabled, and authentication credentials (service account key or Application Default Credentials).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes.
Quickstart
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.label_detection(image=image)Verify before relying
- Whether the package handles rate limiting or quota management automatically or requires explicit handling.
- Performance characteristics and latency for batch image processing operations.
- Whether all Vision API features (e.g., web detection, safe search) are fully exposed in this client version.
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 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 86,196,382 / month, #391 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | 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 |
Evidence: google_cloud_vision-3.15.0-py3-none-any.whl
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See also google-cloud-documentai · google-cloud-monitoring · google-cloud-video-transcoder · google-cloud-automl · google-cloud-dlp · google-cloud-videointelligence · supervisely · google-cloud-build · google-cloud-language · google-cloud-tpu