AudioGen

At a glance

• Editor score
  7.1 / 10
• Pricing
  Free plan
• Best for
  Researchers building custom local audio workflows
• Free plan
  Yes
• Paid from
  Free
• Text-to-sound
  Yes
• Facts checked
  20 Sep 2026

• Where it wins

  • Generates environmental audio from natural-language descriptions
  • Includes Python inference, continuation, and configurable sampling
  • Provides training and evaluation pipelines for custom research workflows

• Where it doesn't

  • Requires self-hosting through a local research library
  • Commercial use is restricted by the CC-BY-NC 4.0 license
  • Research-oriented tooling may be less convenient for typical creators

Our verdict on AudioGen

AudioGen is an open-source text-to-sound generation model from Meta AI’s FAIR team. It is designed for audio, machine-learning and AI researchers, along with amateurs exploring generative audio. The model generates general environmental audio from natural-language descriptions using an autoregressive Transformer and 16 kHz EnCodec-based audio tokenization. Its released medium model has 1.5 billion parameters and runs locally through the AudioCraft Python library, making it a fit for custom workflows rather than a hosted commercial sound-effects application.

For research and development, AudioGen provides more than prompt-based generation. The feature set includes audio continuation from an audio prompt, configurable generation duration and sampling parameters, and a Python inference API through AudioCraft. Training and evaluation pipelines support custom research workflows, while the model’s open-source distribution allows local work with the released system. These capabilities make AudioGen particularly relevant when researchers need to inspect, adapt or integrate generation into their own Python-based processes.

The main trade-off is the product’s local, research-focused delivery model. AudioGen is distributed as a model and local research library rather than a hosted commercial application, so it is less convenient for creators seeking a ready-to-use browser workflow. The model weights use the CC-BY-NC 4.0 license, restricting commercial use. Researchers building custom local audio systems should consider AudioGen; creators needing straightforward commercial production workflows or a hosted experience should choose a tool aligned with those requirements instead.

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AudioGen pricing

AudioGen fact sheet

Alternatives to AudioGen

• SoniloA flexible SFX generator with video timing, API access, and a useful free tier.9.4
• MireloA deep AI sound-effects toolkit for professional editors and production teams.9.2
• Noiz AIA controllable AI sound-effects generator for reactive game audio and production workflows.8.9

See all AudioGen alternatives →

Featured on iTechGuides

AudioGen is listed in our AI Sound Effect Generators directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update