No. 16 of 28 ·AI Sound Effect Generators

Sony Woosh

Web · Self-hosted · API

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Freedom report

One barScore 5.3

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely1 of 6 device platforms
DocumentedPlans, terms and facts published

Sony Woosh is ranked #16 of 28 in AI sound effect generators on Freedom251. It runs on API, Self-hosted, Web.

Compared on AI sound effect generators

Free plan: Yes
Text-to-sound: Yes
Download formats: wav
Commercial use: unclear
API access: Yes

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The record

Purpose: Woosh is Sony AI’s publicly released sound effects foundation model, with inference code and open model weights.
Text-to-audio: Woosh-Flow and Woosh-DFlow generate audio unconditionally or from a text prompt.
Video-to-audio: Woosh-VFlow generates audio from a video sequence and can take optional text prompts.
Model components: The release includes an audio encoder/decoder, a text-audio alignment model, text-to-audio and video-to-audio generators, and distilled versions of the generators.
Inference options: The repository provides installation options with CPU or CUDA support and inference test scripts for each model.
Local demos: The repository includes local Gradio demos for Woosh-Flow and Woosh-DFlow, accessed in a browser on the same machine.
API: A self-run API server is provided for inference, but currently supports Woosh-DFlow only.
Model weights: Open weights for models trained on public datasets are available from the repository’s releases.
Licensing: Most repository code is MIT-licensed, code for Woosh-VFlow and Woosh-DVFlow is Apache 2.0 licensed, and released model weights are CC-BY-NC licensed.
Use case: The models are optimized for sound effects and are presented as tools for audio research and building approaches or baselines.
Support: The repository welcomes pull requests and asks contributors to open an issue before making major changes.
Organization: The repository identifies Woosh as a public release of a sound effect foundation model by Sony AI.
Audio models: Woosh-AE provides audio encoding and decoding, while Woosh-CLAP provides text-audio alignment for diffusion conditioning.
Open weights: The repository provides inference code and open weights for models trained on public datasets.

Where it ranks on Freedom251

Best AI Sound Effect Generators in 2026#16 of 28

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Sources

github.com/SonyResearch/Woosh· checked 5 Oct 2026
arxiv.org/abs/2604.01929· checked 5 Oct 2026
github.com/SonyResearch/Woosh/tree/main/api· checked 5 Oct 2026
github.com/SonyResearch/Woosh/releases· checked 5 Oct 2026