TimeSide: Process and Analyze Audio at Scale

Overview

TimeSide combines a Python processing framework with a web server and REST API for audio and video workflows. It helps developers and researchers run analyses, transformations, and visualizations across media collections, then make results available to applications through a service interface.

Its plug-in architecture supports custom processors and integrations with audio analysis libraries. Use it when you need repeatable processing on large collections or web-based access to audio operations, rather than a simple one-off desktop editor.

Key Features

• Decode audio frames from audio and video media into NumPy arrays.
• Chain asynchronous processing tasks for filtering, analysis, and transcoding.
• Extend processing with plug-ins and integrations including Aubio, Yaafe, and VAMP.
• Generate visualizations such as waveforms and spectrograms.
• Expose processing and track operations through a REST API.
• Stream and transcode media for web applications, with an HTML5 player.
• Serialize analysis results and support audio indexing, tagging, and annotation workflows.

Use Cases

• Researchers can prototype audio analysis methods and apply them to sizeable datasets.
• Archive teams can process recordings, attach analysis metadata, and synchronize annotations with audio.
• Web developers can offer on-demand audio analysis or transcoding through a REST API.
• Media services can build workflows for streaming, visualization, and feature extraction across their collections.

Getting Started

The README describes a Docker Compose setup:

git clone --recursive https://github.com/Parisson/TimeSide.git
cd TimeSide
docker compose up -d

See the README and documentation for setup details and tutorials.

Alternatives

• pedalboard: Pedalboard focuses on programmable audio effects and rendering, while TimeSide provides broader analysis, visualization, streaming, and server capabilities.

Considerations

• The project is licensed under AGPL-3.0, which may affect how you distribute modified versions or provide the software as a network service.
• The documented quick start uses Docker and Docker Compose, and bundles multiple services and media-processing dependencies.
• Processing capabilities can depend on external libraries and plug-ins, so confirm that the required decoders and analyzers are available for your workflow.
• The repository was pushed on 2024-10-14, according to the supplied repository metadata. Check the repository and documentation for current maintenance and compatibility details.