google-cloud-videointelligence
Google Cloud Videointelligence API client library
Decision gist · record as of 2026-08-14
Yes. This is a production-stable, actively maintained official Google Cloud client with no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to analyze video content via Google Cloud Video Intelligence and are running Python 3.10 or later. Prerequisite: you must have a Google Cloud project with the Video Intelligence API enabled and valid credentials configured.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud project with Video Intelligence API enabled, valid authentication credentials (via GOOGLE_APPLICATION_CREDENTIALS or Application Default Credentials), and billing enabled.
- Low friction install with five standard Google Cloud dependencies.
- Package is actively maintained with a recent release (53 days old) and supported across modern Python versions (3.10–3.14).
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions, typical for Google Cloud client libraries.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 81,689,653 downloads/mo, #414 on PyPI
Alternatives
Verify before relying
pip install google-cloud-videointelligence
from google.cloud import videointelligence_v1
client = videointelligence_v1.VideoIntelligenceServiceClient()
operation = client.annotate_video(request={"input_uri": "gs://bucket/video.mp4"})- Whether the library handles large video files or has practical limits on video size/duration for processing.
- Specific latency characteristics for asynchronous vs. streaming API modes under typical workloads.
- Cost implications of API calls and whether the client provides usage tracking or quota management helpers.
What it is and what it does
This is the official Python client for Google Cloud Video Intelligence, a managed service that analyzes video content to detect objects, recognize explicit material, identify scene boundaries, and transcribe speech. The library wraps the underlying gRPC API and handles authentication, serialization, and request/response marshaling through its runtime dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf).
Developers use it to integrate video analysis into applications without building direct API calls. The library supports both asynchronous operations (fire-and-forget with polling) and streaming for real-time or batch processing. It requires a Google Cloud project with the Video Intelligence service enabled and proper authentication configured; the fact sheet indicates support for Python 3.10 and later, so older Python environments are not supported.
Use it for
- Moderate user-uploaded videos for explicit content before publishing to a platform.
- Extract scene boundaries and object locations from video archives for indexing and search.
- Transcribe speech in videos to generate captions or searchable transcripts.
- Detect specific objects (e.g., vehicles, people) in surveillance or security footage.
- Automate video metadata generation for media libraries or content management systems.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable, actively maintained official Google Cloud client with no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to analyze video content via Google Cloud Video Intelligence and are running Python 3.10 or later. Prerequisite: you must have a Google Cloud project with the Video Intelligence API enabled and valid credentials configured.
Install
google-cloud-videointelligence on PyPI
Before you install
Low friction install with five standard Google Cloud dependencies. Package is actively maintained with a recent release (53 days old) and supported across modern Python versions (3.10–3.14). No known vulnerabilities.
Requires Google Cloud project with Video Intelligence API enabled, valid authentication credentials (via GOOGLE_APPLICATION_CREDENTIALS or Application Default Credentials), and billing enabled.
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions, typical for Google Cloud client libraries.
Quickstart
pip install google-cloud-videointelligence
from google.cloud import videointelligence_v1
client = videointelligence_v1.VideoIntelligenceServiceClient()
operation = client.annotate_video(request={"input_uri": "gs://bucket/video.mp4"})Verify before relying
- Whether the library handles large video files or has practical limits on video size/duration for processing.
- Specific latency characteristics for asynchronous vs. streaming API modes under typical workloads.
- Cost implications of API calls and whether the client provides usage tracking or quota management helpers.
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 | 81,689,653 / month, #414 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_videointelligence-2.20.0-py3-none-any.whl
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See also google-cloud-video-transcoder · scenedetect · google-cloud-speech · google-cloud-vision · google-cloud-monitoring · google-cloud-automl · google-cloud-build · google-cloud-dlp · google-cloud-documentai · google-cloud-language