To turn audio into video with AI, upload the track first and let the sound do the directing. Audio-to-Video AI reads speech, music, or sound design and uses it to shape the motion, pacing, and transitions of the video it generates, so what you hear decides what happens on screen.

The order is the whole point. Basic converters work the other way around, placing audio into a video format with a static image or a waveform. Audio-to-Video AI generates original visuals from your sound, with motion and pacing that respond to the audio itself.

This guide covers what the sound actually controls, the four steps from upload to export, which kind of audio to bring, how much direction you can add without taking the wheel, and how far one generation goes before you chain the next.

What audio to video AI actually does

Audio-to-Video AI generates video using sound as the primary input. Instead of adding audio to existing footage, it reads your speech, music, or sound design and uses it to shape the motion, pacing, and transitions of the generated visuals. It is powered by LTX 2.3, which treats sound as the control signal from the start rather than adding it to finished visuals afterward.

Three different things get filed under the same name, and only one of them generates anything:

  • An audio to video converter places audio into a video format alongside a static image or a waveform. The picture never reacts to the sound.
  • Lip-sync matches facial movement to speech. It controls the mouth and leaves the rest of the shot where it was.
  • Audio-driven generation uses sound to drive the broader sequence, including character motion, camera movement, pacing, and transitions.

That third one is what this tool does. A pause in a voiceover and a shift into a chorus are not the same event, and they do not produce the same result on screen.

What your sound controls on screen

The model reads speech, beats, and shifts in energy, then shapes motion, pacing, and cuts around them. Voice, music, and sound design each shape the visuals differently, so what you upload decides which of those levers gets pulled.

  • Music guides the edit through tempo, rhythm, and intensity. Tempo sets the pace, rhythm influences the cuts, and a quiet verse feels different from a full chorus.
  • Speech guides movement through emphasis and pauses. Emphasis creates movement, and a pause has room to land instead of being filled.
  • Sound effects and textures can drive the scene too, shaping motion and intensity without a voice or a beat anywhere in the file.

Sound stays the primary control signal throughout. Everything else you add is context for it to work against.

How to turn audio into video in four steps

The generator runs online in AI Playground, straight from a browser, with nothing to install.

Step 1. Upload your audio

Add voice, dialogue, music, or sound effects. Supported formats are WAV, MP3, M4A, and OGG, uploaded directly without converting to another format first.

Step 2. Add your direction

Give the generator context for the scene and the kind of visuals you want to create. This is where a starting image and a short text prompt go, and both are optional.

Step 3. Generate your video

Your audio guides the motion, pacing, and transitions as the model responds to speech, beats, and sound energy. Output duration matches the length of the audio you uploaded.

Step 4. Download or continue

Export the result as a 1080p MP4, or keep building on the sequence by chaining the next clip from the final frame of this one.

Which audio to bring

Any of the four input types works, and the choice is really a choice about what you want the sound to control.

  • A finished track turns tempo and intensity into pacing. This is the route for music videos, lyric visuals, and more abstract visualizations shaped by the sound.
  • A voiceover or narration turns delivery into movement. Explainers, narrated social posts, and audio-led stories all sit here, because the voice already sets the pace.
  • Dialogue turns performance into a scene. Characters move, react, and shift expression with the delivery rather than just moving their mouths.
  • Sound effects and textures can drive the scene too. There is no rule that the file has to contain a voice or a beat for the model to have something to work with.

Formats are the easy part. WAV, MP3, M4A, and OGG all upload directly, so a voice memo, a bounced mix, and a podcast export are all ready as they are.

How much you can direct without overriding the audio

Two optional inputs let you set the look while the sound keeps control of the timing.

A starting image anchors character identity, visual style, or scene composition throughout the generated clip. The generator carries that character, style, or setting into the clip while the sound shapes movement and expression.

A text prompt guides visual context and scene direction. It sets what the scene is, while the timing of what happens inside it keeps coming from the track.

Neither input takes over. Your audio remains the primary driver of motion and timing, which is what keeps the result synchronized to the track rather than merely accompanied by it.

How to go past a single generation

Each generation produces up to about 20 seconds of video, matching the length of the uploaded audio. Longer pieces get built by chaining generations, with each new clip continuing from the final frame of the previous one, which is how a visual direction carries beyond a single clip.

What people generate from audio

What you upload What comes back
A finished track Music videos and lyric visuals where beats, tempo, and shifts in intensity guide the motion and pacing
A voiceover Explainers and narrated content, where delivery, emphasis, and pauses shape how the visuals move alongside the voice
An audio-only recording Podcasts and other audio-only content given a visual format, ready for video-first social platforms
Spoken dialogue Characters that move, react, and shift expression with the delivery, going beyond simple mouth movement

What the generator gives you

  • Sound as the primary control signal, guiding motion, timing, pacing, and visual intensity
  • Clips up to 20 seconds, with output duration matching the length of your uploaded audio
  • Multi-clip continuation, each new clip continuing from the final frame of the previous one
  • Optional starting image support to anchor character identity, visual style, or scene composition
  • Optional text prompt support to guide visual context and scene direction
  • Voice, dialogue, music, or sound effects as input
  • WAV, MP3, M4A, and OGG upload, with no conversion step
  • 1080p MP4 export, with motion and transitions synchronized to speech, beats, and sound energy

Finished clips can be taken further with other video models available in AI Playground when a project needs extra refinement.

Get answers to common questions

Audio to video AI generates video using sound as the primary input. Instead of adding audio to existing footage, it reads your speech, music, or sound design and uses it to shape the motion, pacing, and transitions of the generated visuals.

Start with the track you already have

The file that will make the best video is probably already on your drive. Upload it to Audio-to-Video AI, add a starting image if the look matters, and let the sound direct the rest.