Open-source research model for generating audio conditioned on video and text, with an emphasis on audiovisual synchronization.
MMAudio
Explore features, practical uses and pricing below.
MMAudio is a research project for generating sound that corresponds to a video, a text description, or both. Its official repository includes inference code, model weights, and examples. It is most useful to developers and researchers exploring how generated audio can match visible movement, rather than creators looking for a complete browser-based sound editing studio.
MMAudio suits machine learning researchers, creative coding practitioners, and technically comfortable video creators. It is a useful option for experimental foley or environment sounds, especially when synchronization matters. Teams needing a supported production editing interface should assess whether running a research repository fits their workflow before adopting it.
For a short clip of someone walking across gravel, prepare the video and give a concise sound description that focuses on footsteps and the outdoor environment. Run the documented inference workflow, then listen while watching the original action. Compare timing, background texture, and unexpected sounds. Keep the generated audio as a separate track so a video editor can trim it, adjust levels, or replace individual moments that do not fit.
The model generates a plausible interpretation rather than recovering the audio that was originally recorded. Subtle actions, off-screen causes, and complicated scenes can be difficult to represent consistently. Local use also requires compatible dependencies, model downloads, and sufficient hardware resources. Evaluate the repository's current setup instructions and licenses directly; open access to code does not by itself establish unrestricted rights for every model weight or generated use case.
The official code and model resources are publicly available through the project repository and linked research materials. Running them locally involves your own compute and storage costs. Hosted demos may impose separate limits or charges, so distinguish the research software's license from the terms of whichever service you use to run it.
No. It is an audio generation research project with code and models that can be used within a wider editing workflow.
No. It creates audio conditioned on the supplied video or description, which still needs listening and timing review.