Sync Lipsync 2.0
Zero-Shot Natural Lip Sync
Sync Lipsync 2.0 is a zero-shot model for generating realistic lip movements that match spoken audio. It preserves speaker style across languages and works with live-action, animation, and AI-generated characters.
Key Features
Discover what makes Sync Lipsync 2.0 the world's most natural lip sync model
Zero-Shot Generation
No training or fine-tuning needed. Just drop in your video and audio—Lipsync 2.0 handles the rest instantly.
Style Preservation
The model picks up on how someone speaks by watching them. Even when translating across languages, it keeps their signature delivery.
Cross-Domain Support
Works with live-action humans, animated characters, and AI-generated faces with flawless results.
Temperature Control
Fine-tune how expressive the lipsync is. Make it subtle or dial it up depending on the scene.
Active Speaker Detection
Automatically detects who's speaking in multi-person videos and applies lipsync only when that person is talking.
Record Once, Edit Forever
Change dialogue after the fact while keeping the original speaker's delivery intact. No need for multiple takes.
See It In Action
Real examples and use cases created with Sync Lipsync 2.0 on OpenCreator
Video Dubbing
Localization
Dub any video with AI while maintaining natural lip movements across languages.
Try this workflow →Post-Production Editing
Dialogue Editing
Change dialogue in post-production without re-recording. Edit words while preserving delivery.
Try this workflow →Animation Lip Sync
3D & 2D Characters
Add realistic lip sync to stylized 3D characters and 2D animations.
Try this workflow →AI Avatar Videos
Digital Humans
Create hyperreal AI avatar videos with natural speech synchronization.
Try this workflow →Multi-Person Videos
Active Speaker
Handle multi-person videos with automatic speaker detection and targeted lip sync.
Try this workflow →Cross-Language Content
Global Reach
Translate content across languages while preserving the speaker's unique style.
Try this workflow →Video Dubbing
Localization
Dub any video with AI while maintaining natural lip movements across languages.
Try this workflow →Post-Production Editing
Dialogue Editing
Change dialogue in post-production without re-recording. Edit words while preserving delivery.
Try this workflow →Animation Lip Sync
3D & 2D Characters
Add realistic lip sync to stylized 3D characters and 2D animations.
Try this workflow →AI Avatar Videos
Digital Humans
Create hyperreal AI avatar videos with natural speech synchronization.
Try this workflow →Multi-Person Videos
Active Speaker
Handle multi-person videos with automatic speaker detection and targeted lip sync.
Try this workflow →Cross-Language Content
Global Reach
Translate content across languages while preserving the speaker's unique style.
Try this workflow →Technical Specifications
Everything you need to know about Sync Lipsync 2.0 capabilities
Input & Output
- Video FormatsMP4, MOV, WebM
- Audio FormatsMP3, WAV, AAC
- Output FormatMP4
- Max DurationVariable
Capabilities
- Zero-Shot
- Style Preservation
- Active Speaker Detection
- Cross-Domain
Controls
- Temperature Control
- ExpressivenessAdjustable
- Language SupportMulti-Language
- Character TypesAll Types
Performance
- Generation TimeFast
- API Access
- Batch Processing
Model Comparison
See how Sync Lipsync 2.0 compares to other lip sync models
| Feature | ★ RecommendedSync Lipsync 2.0 | Pixverse Lipsync | Kling Lipsync |
|---|---|---|---|
| Zero-Shot | |||
| Style Preservation | |||
| Cross-Domain | |||
| Active Speaker | |||
| Temperature Control | |||
| Quality | Very High | High | High |
Simple Pricing
Pay only for what you use
Save more with a subscription
$0.16 per generation
7,000 credits / month
$0.06 per generation
24,000 credits / month
$0.06 per generation
100,000 credits / month
Credits based on video duration. Subscribe to save more.
FAQ
Sync Lipsync 2.0 is a zero-shot model from Sync Labs for generating realistic lip movements that match spoken audio. It works out of the box without training and preserves a speaker's unique style across different languages and video types.