AI Generation

Video to Audio: Generating Sound From Picture

Also called v2a, ai foley, video to sfx, auto foley

Video to audio, usually shortened to v2a, generates a soundtrack for a silent clip by watching the picture and producing effects that line up with what happens on screen. It is the automated form of foley, and its hard problem is synchronisation rather than sound quality.

What the model is watching for

A v2a model runs two jobs at once. It classifies what is in the frame well enough to guess what things would sound like, and it locates the moments where something happens: an impact, a footfall, a door meeting its jamb, a hand landing on a surface. The second job is the one that decides whether the result is usable.

That ordering runs against intuition. It seems as though the difficulty would be in synthesising a convincing door slam, but convincing door slams are cheap now. What is expensive is deciding that the door meets the frame on frame 71 rather than frame 74. Sound and picture are judged together by a viewer who will accept a wooden door that sounds slightly metallic and will not accept a door that closes before it shuts.

This is also why v2a output tends to be good at continuous sound and weaker at discrete events. Rain, traffic, room tone and wind have no attack to align, so they land convincingly almost every time. Footsteps, impacts and handling noise are where errors are audible.

Prompting it

The video already carries the timing, so the prompt should carry the material, and it should exclude everything you intend to supply yourself.

  • Name the surface, not just the action. footsteps on wet gravel produces something usable. footsteps produces a generic thud that will not match your picture.
  • Anchor the one event that matters. a heavy wooden door closing on the third second gives the model a target to align to rather than leaving it to find every event on its own.
  • Ask for the layer, not the mix. Generating footsteps, ambience and effects in one request gives you a single stereo file you cannot rebalance. Separate passes cost more and are far more useful in an edit.
  • Exclude aggressively. no music, no voices is nearly always worth including. Models add both as texture and both will fight your real mix.
  • Keep clips short. Accuracy degrades over length as the event list grows, and eight seconds of correctly synced audio is worth more than thirty seconds that drift.

Native audio versus v2a

Many current video models can produce sound in the same generation as the picture, exposed as a switch rather than as a separate step. When that option exists it is usually the better one, because sound and image are decided together and synchronisation is not a matching problem at all.

The split is simply about what already exists. If you are generating the shot, turn native audio on and treat v2a as the fallback for clips that came out silent or where the generated sound was wrong. If the footage is filmed, or came from a model without audio, or you deliberately want to keep the picture and replace the sound, v2a is the only route.

One caveat about native audio worth knowing before you rely on it: it tends to include music and voices whether or not you asked, and you cannot separate them from the effects afterwards, because it is one mix. For anything that has to sit under real dialogue, generating the picture silently and running v2a for effects gives you control that native audio does not.

Where it fits against real foley

Traditional foley exists because recorded location sound is thin, inconsistent, and full of things you do not want. A foley artist performs the sounds in sync while watching picture, which produces material that is clean, exaggerated in the right places, and separated into layers.

Generated audio covers the least interesting part of that job well: ambience beds, background layers, and effects nobody will inspect. It is weakest exactly where a foley artist adds value, which is performance. A footstep that gets slightly heavier as a character hesitates is an acting choice, and a model watching the picture does not make choices. Use v2a to fill the ninety percent of a soundtrack that only needs to be present, and keep the moments that carry meaning under manual control.

Models that support this

Pulled from the live ZOOOP model catalog, so this list stays current as new models ship.

The prompt for this

A starting point that reliably produces the effect. Adjust the subject and setting; keep the technical clauses.

Footsteps on wet gravel with a slight scuff on each step, a heavy wooden door closing on the third second, distant traffic hum underneath, no music, no voices

Try Video to Audio yourself

Open the generator with a starting point already filled in.

Frequently asked questions

What does v2a actually take as input?
A silent video clip, and usually an optional text prompt describing the sound you want. The video supplies the timing and the events; the prompt supplies the material and the character. Given only video, a model will guess what things are made of, which is where most wrong-sounding results come from.
Why is synchronisation harder than the sound itself?
Because a plausible sound placed forty milliseconds off reads as broken, while a slightly wrong sound placed exactly on the frame reads as fine. Audiences are extremely tolerant of the wrong material and extremely intolerant of the wrong moment, so the model has to detect impact frames precisely.
How is this different from a text to sound effect model?
A sound effect model takes only words and gives you an isolated sound with no timing information. Video to audio watches the picture, so the output already lands where the events are. Use the effect model when you are building a library and v2a when you have a cut that needs covering.
What is native audio generation, and when should I use that instead?
Several video models can generate their own soundtrack in the same pass as the picture. That is native audio, and it is usually better synced because sound and image come from one process. Use v2a for footage that already exists, and native audio when you are generating the shot anyway.
Does it handle dialogue?
Not usefully. Models in this family are trained on effects and ambience, and asking for speech produces mumbled non-language that sits in the uncanny range. Voices should come from text to speech or a real recording, then be mixed underneath the generated effects.
Can I generate only ambience and keep my own effects?
Yes, and it is often the best split. Ask for the bed explicitly, with negative statements for everything else, such as room tone and distant traffic only, no footsteps, no music. Beds are where generated audio is most convincing, because nothing has to hit a frame.

Related terms