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

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

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

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

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

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.