---
id: pyobjc-framework-vision
version: "12.2.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# pyobjc-framework-Vision — Wrappers for the framework Vision on macOS

License: permissive · Maintenance: active · Downloads: 849.5K/mo

## What it is and what it does

pyobjc-framework-vision is a set of Python bindings that wrap Apple's macOS Vision framework, allowing Python developers to call native Vision APIs directly from Python code. The Vision framework provides computer vision and image analysis capabilities including object detection, face recognition, barcode scanning, and other image processing tasks built into macOS.

The package is part of the larger PyObjC project, which bridges Python and Objective-C. It depends on pyobjc-core, pyobjc-framework-Cocoa, pyobjc-framework-Quartz, and pyobjc-framework-CoreML. Because it wraps native framework code, it only runs on macOS and requires Python 3.10 or later. The bindings are thin wrappers without their own documentation, so users must consult Apple's Vision framework documentation alongside PyObjC's translation guides.

Use it for:

- Build macOS desktop applications that perform image analysis, object detection, or face recognition using native Vision APIs
- Integrate Apple's Vision framework capabilities into Python scripts running on macOS for batch image processing
- Develop machine learning pipelines on macOS that leverage Vision's built-in image feature extraction and ML integration
- Create macOS automation tools that analyze images or video frames using native computer vision without external dependencies

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Python bindings to macOS's Vision framework, enabling access to Apple's computer vision and image analysis capabilities from Python code.

Yes, if you are developing on macOS and need access to Apple's Vision framework from Python. The package is actively maintained, has no known vulnerabilities, and carries a permissive license. The main constraint is platform lock-in—it only works on macOS and requires Python 3.10+. If you need cross-platform computer vision, consider alternatives; if you are already on macOS and want to leverage native APIs, this is the right choice.

## Install

pip install pyobjc-framework-vision
uv add pyobjc-framework-vision
poetry add pyobjc-framework-vision

## Installing pyobjc-framework-Vision

Before you install: Medium install friction due to platform specificity—wheels are macOS-only and require Python 3.10 or later. The package is actively maintained with a recent release (3 days old) and depends on four other PyObjC framework packages, all of which must be installed together.

License in practice: MIT license is permissive and imposes no significant restrictions on use, modification, or distribution.

Quickstart:

pip install pyobjc-framework-vision

from Vision import VNImageRequestHandler

# Use Vision framework classes via Python bindings

macOS operating system required; wheels are not available for Linux or Windows. Python 3.10 or later required.

Verify before relying:

- Whether the Vision framework bindings cover all current macOS Vision APIs or only a subset
- Performance characteristics when bridging between Python and Objective-C Vision calls
- Compatibility with M-series Apple Silicon beyond the universal2 wheel format

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 849.5K/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

macos vision framework python, computer vision macos bindings, apple vision api python, image analysis macos, pyobjc vision wrapper, macos image recognition python, objective-c vision bridge, macos-native, computer-vision, objective-c-bridge

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