AudioCraft
Claim this toolAI research for generating music, sound effects, and audio compression from raw signals.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Simplifies generative audio model design
Biggest con
Primarily a research framework, not a consumer-ready product
TL;DR - AudioCraft
- Generates music and sound effects using AI.
- Utilizes a single autoregressive Language Model for efficient audio generation.
- Includes MusicGen for music and AudioGen for environmental sounds.
Pricing: Free forever
Best for: Individuals & startups
What is AudioCraft?
AudioCraft is a comprehensive AI research framework developed by Meta AI for generative audio tasks. It provides a unified codebase for creating music, sound effects, and performing audio compression. The core of AudioCraft relies on a single autoregressive Language Model (LM) that processes compressed discrete audio representations, or tokens, generated by the EnCodec neural audio codec. This approach simplifies generative audio models by efficiently handling long-term dependencies in audio sequences and producing high-quality output.
The framework includes specialized models like MusicGen for text-to-music generation and AudioGen for text-to-sound generation. MusicGen can produce diverse and long music samples, including stereo, conditioned on text descriptions or melodic features, and supports longer generations through a windowing approach. AudioGen focuses on generating environmental sounds from textual descriptions. AudioCraft is designed for researchers and developers interested in advanced generative AI for audio, offering a robust platform for experimentation and application development in this field.
Available on: Web
Pros & Cons
Pros
- Simplifies generative audio model design
- Generates high-quality audio samples
- Supports both music and environmental sound generation
- Allows for controlled generation via text or melody
- Open-source codebase for research and development
Cons
- Primarily a research framework, not a consumer-ready product
- Requires technical knowledge to utilize the codebase
- Diffusion-based EnCodec can be computationally intensive
Preview
Key Features
Text-to-music generation (MusicGen)Melody-guided music generationLong music generation (up to 2 minutes)Stereophonic music generationText-to-sound generation (AudioGen)Neural audio codec (EnCodec) for compressionSingle autoregressive Language Model for audio token modelingConditioning models for controlled generation (e.g., text encoder)
Pricing
Free
AudioCraft is completely free to use with no hidden costs.
Reviews
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AudioCraft FAQ
How does AudioCraft simplify generative audio model design?
AudioCraft simplifies generative audio model design by using a single autoregressive Language Model (LM) that processes compressed discrete audio representations. This unified approach efficiently handles long-term dependencies in audio sequences, streamlining the creation of generative audio models.
What kind of user is AudioCraft best suited for?
AudioCraft is designed for researchers and developers interested in advanced generative AI for audio. It offers a robust platform for experimentation and application development in this field, requiring technical knowledge to utilize its codebase effectively.
How does AudioCraft compare to AIVA for music generation?
AudioCraft provides a comprehensive AI research framework for generative audio tasks, including music generation via MusicGen, and is open-source for research and development. AIVA is also a tool for AI music generation, but AudioCraft's primary focus is on providing a unified codebase for researchers.
Can AudioCraft generate different types of audio content?
Yes, AudioCraft can generate diverse audio content, including music and environmental sound effects. It features specialized models like MusicGen for text-to-music generation and AudioGen for text-to-sound generation, allowing for varied audio output.
Does AudioCraft include a free tier?
AudioCraft is free to use, as it is an open-source codebase primarily intended for research and development. There is no paid plan required to access its functionalities.
What are the main limitations of using AudioCraft?
AudioCraft is primarily a research framework and not a consumer-ready product, meaning it requires technical knowledge to utilize its codebase. Additionally, its diffusion-based EnCodec can be computationally intensive, which is a trade-off for its capabilities.
How does AudioCraft enable controlled audio generation?
AudioCraft enables controlled audio generation through various inputs, such as text descriptions or melodic features. MusicGen, for instance, can produce music conditioned on text or melody, while AudioGen generates environmental sounds from textual descriptions.
Source: audiocraft.metademolab.com