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AudioCraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

View on GitHub Official site
Text To Speech MIT Easy setup 23,510 stars

Overview

Description

Generate professional-quality music and audio from simple text descriptions using AudioCraft's AI models. MusicGen creates original compositions for content, advertising, and games; AudioGen produces custom sound effects on demand β€” without hiring composers or sound engineers. The bottom line: turn text prompts into studio-quality audio in seconds.

Technical scorecard

License

MIT

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

Yes

Quantization support

No

Docker available

No

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/facebookresearch/audiocraft

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA)
LanguagesJupyter Notebook, Python

Works Well With