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sync.so logo
sync.so
✓ verifiedPaid

AI lipsync and visual dubbing tool that resyncs a speaker's mouth to translated audio or cloned voices across languages.

352K visits/mo31K saves
Vidu logo
Vidu
✓ verifiedFreemium

Fast AI video and image generator known for consistent multi-reference characters, anime motion, and free off-peak generation.

3.3M visits/mo50K saves
Wan AI logo
Wan AI
✓ verifiedFreemium

Alibaba's Wan AI platform for generating video and images from text or reference images, part of the Tongyi generative AI family.

3.1M visits/mo49K saves
Pricing

No public pricing

No public pricing

No public pricing

Core features
  • AI lipsync across multiple languages
  • Support for 4K footage, multiple faces and camera angles
  • API and plugin integration (Premiere, ComfyUI) for pipelines
  • Voice cloning or generated-audio input for dubbing
  • Watermark-based verification of processed videos
  • Text-to-video, image-to-video, and reference-to-video generation
  • Multi-reference consistency using up to 7 images
  • First and last frame transition control
  • Anime art-to-video animation
  • Unlimited free generation in off-peak mode
  • AI sound effect and AI image generation tools
  • Text-to-video generation
  • Image-to-video generation
  • Text-to-image and image editing
  • Open-source model releases for developers
  • Part of Alibaba's broader Tongyi AI ecosystem
Use cases
  • Studios localizing video into other languages
  • Creators dubbing content with AI-cloned voices
  • Post-production teams fixing sync in complex shots
  • Platforms needing to verify AI-modified video authenticity
  • Marketers producing branded video ads with consistent characters
  • Anime creators animating static art
  • Creators reusing saved characters/props across multiple videos
  • Users wanting fast, low-cost video generation via off-peak mode
  • Content creators generating short AI video clips
  • Developers building on open-source Wan model weights
  • Marketers producing quick visual content
  • Researchers experimenting with video diffusion models
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