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

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

License: permissive · Maintenance: active · Downloads: 652.4K/mo

## What it is and what it does

pyobjc-framework-shazamkit is a thin Python wrapper around Apple's ShazamKit framework, part of the broader PyObjC project that bridges Python and Objective-C on macOS. It allows Python developers to call ShazamKit APIs directly from Python code, enabling audio recognition and music identification features in macOS applications. The package does not include its own documentation; instead, it defers to Apple's ShazamKit documentation and PyObjC's general translation guidelines.

The wrapper is maintained as part of the PyObjC ecosystem and requires both pyobjc-core and pyobjc-framework-Cocoa as runtime dependencies. It is platform-specific to macOS and supports Python 3.10 through 3.15. Because it is a direct binding to a native framework, it carries the constraints of the underlying ShazamKit API and the macOS platform.

Use it for:

- Build a macOS desktop app that identifies songs from audio input using ShazamKit's native recognition engine.
- Integrate music identification into a Python-based macOS utility or daemon that processes audio files.
- Prototype or script ShazamKit functionality for macOS automation tasks that require song recognition.
- Combine ShazamKit with other PyObjC frameworks to build multimedia applications on macOS.

## Worth the install?

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

Provides Python bindings to macOS's ShazamKit framework, enabling audio recognition and music identification capabilities in Python applications running on macOS.

Yes, if you are developing on macOS and need to integrate ShazamKit audio recognition into a Python application. The package is actively maintained, has no known vulnerabilities, and carries a permissive MIT license. Install friction is moderate due to platform and Python version constraints, but these are inherent to the framework binding, not the package itself. Not applicable on non-macOS platforms.

## Install

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

## Installing pyobjc-framework-ShazamKit

Before you install: Medium friction: platform-specific wheels for macOS only (Python 3.10–3.15), requiring pyobjc-core and pyobjc-framework-Cocoa as runtime dependencies. Active maintenance with a release 3 days old and recent commits.

License in practice: MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely provided you include the license notice.

Quickstart:

pip install pyobjc-framework-shazamkit

from ShazamKit import SHMediaLibrary

# Access ShazamKit framework through Python bindings
library = SHMediaLibrary.defaultLibrary()

macOS only; requires Python 3.10 or later; requires Cocoa framework available on the system.

Verify before relying:

- Whether ShazamKit bindings support real-time audio stream matching or only file-based recognition.
- Performance characteristics and latency of audio fingerprinting through Python bindings versus native Objective-C.
- Whether the wrapper exposes all ShazamKit APIs or a subset of the framework's capabilities.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 652.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

macOS audio recognition python, shazamkit python bindings, music identification macos, pyobjc shazamkit wrapper, audio fingerprinting macos, song recognition framework, shazam api python macos, macos-only, audio-recognition, pyobjc-binding

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