Best Lip Sync
Models selected for syncing speech to a face on video with realistic timing and mouth movement. Useful for narration, dubbing, and character performance where alignment matters.
Featured Models
Top-performing models in this category, recommended by our community and performance benchmarks.

Wan2.5-Preview
by Alibaba
Wan2.5-Preview is Alibaba’s multimodal video model in research preview. It supports text to video and image to video with native audio generation for clips around 10 seconds. It offers strong prompt adherence, smooth motion, and multilingual audio for narrative scenes.

OmniHuman-1.5
by ByteDance
OmniHuman-1.5 generates high fidelity avatar video from a single image with audio and optional text prompts. It fuses multimodal reasoning with diffusion motion to keep identity stable, lip sync accurate, and gestures context aware for long, multi subject clips.

OmniHuman-1
by ByteDance
OmniHuman-1 is a ByteDance research model for human video generation from a single image and motion signals like audio. It focuses on accurate lip sync, expressive motion, and strong generalization across portraits, full body shots, cartoons, and stylized avatars.

KlingAI Lip-Sync
KlingAI Lip-Sync aligns mouth motion and facial expression with new dialogue or music in existing video. Upload Kling generated clips or compatible footage, attach an audio track, then get back natural synced performance that fits multi character scenes and production workflows.

PixVerse LipSync
by PixVerse
PixVerse LipSync generates accurate mouth motion from audio for characters and videos. It aligns lip movement with speech timing. It preserves facial expression context. Ideal for dubbing, character animation, and content localization workflows.
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2 modelsExtended duration generation
Best Text-to-Video
25 modelsPrompt-driven video creation
Best Video-to-Video
13 modelsTransform existing footage
Best Lip Sync
5 modelsAudio-driven facial animation
Fastest Video Generation
21 modelsQuick video synthesis