---
id: audioread
version: "3.1.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# audioread — Multi-library, cross-platform audio decoding.

License: permissive · Maintenance: active · Downloads: 9.7M/mo

## What it is and what it does

audioread is a Python library that abstracts away the complexity of choosing an audio decoder by automatically selecting an available backend to read audio files. It supports multiple decoding strategies—GStreamer, Core Audio on macOS, MAD, FFmpeg/Libav via command-line, and Python's standard library modules for uncompressed formats—and presents a unified interface regardless of which backend succeeds. You open an audio file with a context manager, access metadata like channel count, sample rate, and duration, and iterate over raw PCM buffers (16-bit little-endian signed integers) without needing to know which decoder is running underneath.

The library is designed for developers who need to read audio in Python but want to avoid hard dependencies on specific external libraries. It gracefully falls back through available backends and raises a clear exception only when no suitable decoder can be found. This makes it useful in environments where different systems have different audio libraries installed, or where you want to support multiple audio formats without forcing users to install all possible decoders.

Use it for:

- Convert compressed audio files (MP3, FLAC, OGG) to WAV or other formats in a cross-platform application.
- Extract audio metadata and raw PCM data from files in a music processing or analysis pipeline.
- Build audio feature extraction tools that need to read diverse audio formats without hardcoding a specific decoder.
- Integrate audio file reading into applications that run on macOS, Linux, and Windows with minimal platform-specific code.
- Process audio buffers from various sources in a real-time or batch audio application.

## Worth the install?

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

Decode audio files using whichever backend is available on the system, supporting GStreamer, Core Audio, MAD, FFmpeg, and standard library formats.

Yes. audioread is actively maintained, has no known vulnerabilities, minimal install friction, and solves a real cross-platform problem. Install it if you need to read audio files and want to avoid tight coupling to a specific decoder library. The main caveat is that you must have at least one compatible backend available on your system; pure Python installation is not enough for compressed formats.

## Install

pip install audioread
uv add audioread
poetry add audioread

## Installing audioread

Before you install: Low install friction with only two standard library runtime dependencies. Actively maintained with recent releases; last commit 2026-04-09 and 538 repository stars indicate ongoing support.

License in practice: MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.

Quickstart:

import audioread

with audioread.audio_open('file.mp3') as f:
    print(f.channels, f.samplerate, f.duration)
    for buf in f:
        # buf is raw 16-bit little-endian signed integer PCM data
        process(buf)

Requires at least one audio backend installed on the system (GStreamer, FFmpeg, Core Audio on macOS, or MAD); pure Python installation alone cannot decode compressed formats.

Verify before relying:

- Whether all listed backends (GStreamer, Core Audio, MAD, FFmpeg, Libav) are equally well-maintained or if some are deprecated in practice.
- Performance characteristics when handling large audio files or real-time streaming scenarios.
- Exact behavior and error handling when multiple backends are available and could handle the same format.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 9.7M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

audio file decoding, read audio files python, cross-platform audio decoder, audio format conversion, extract audio data, audio backend abstraction, decode compressed audio, audio-decoding, cross-platform, backend-abstraction

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