LipsyncX
Video-to-Video model

PixVerse LipSync

Reliable video lip sync with fast turnaround.

PixVerse Speech (LipSync) aligns mouth movement to audio for expressive, emotion‑driven performance using either a PixVerse video_id or uploaded video.

Best for: Social clips
Inputs: Video + Audio
Outputs: Video

What this model is best at

Short answer: PixVerse Speech (LipSync) aligns mouth movement to audio for expressive, emotion‑driven performance using either a PixVerse video_id or uploaded video.

Use this workspace to preview the model, compare example output, and start creating with the recommended workflow for this model.

Highlight 1

Analyzes both audio and mouth motion for tight sync.

Highlight 2

Accepts PixVerse video_id or uploaded MP4/MOV.

Highlight 3

Audio via file upload or built‑in TTS script.

Video-to-Video

PixVerse LipSync workspace

Start from the built-in workflow below, then tune the model inside the standard LipsyncX creation surface.

1. Upload photo

1. Choose a face

Step 1/4

Choose a face

Follow the next step to keep building your video.

Social clip refresh

Swap narration for a faster hook.

Original
Social clip refresh original
Synced
Social clip refresh generated

Popular use cases

Use case 1

Short‑form

Quick hook iterations.

Use case 2

Social ads

Fast creative refresh.

Use case 3

Creator posts

Lightweight updates.

Quick specs

Primary use
Fast lip sync for social clips
Inputs
PixVerse video_id or uploaded video + audio
Output
Synced video
Best strength
Speed and simplicity

Best practices

Keep clips short for the fastest turnaround.
Use clean, noise‑free audio for crisp mouth motion.
Ensure the face is clear and well‑lit.

FAQ

What are the video limits?

Up to 30 seconds, 1920px resolution, and 50MB per video.

What audio formats are supported?

MP3 or WAV audio, up to 30 seconds and 50MB.

Can I use a script instead of audio?

Yes. Provide a TTS script to generate the audio automatically.

Ready to try PixVerse LipSync?

Use the built-in workspace to test prompts, compare outputs, and see how this model fits your content workflow.