LatentSync vs Sync Labs
LatentSync
github.comSync Labs
sync.soSide by side
| Figure | LatentSync | Sync Labs |
|---|---|---|
| Price from | Free | $5/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 7 |
| Spec score · AI Video Lip Sync Tools | 8.6 (#4) | 8.8 (#3) |
| License | The source repository is licensed under Apache License 2.0. | Sync Labs is presented as a hosted commercial service; its product documentation does not identify an open-source license for the service. |
| What it does | LatentSync is an end-to-end lip-sync system that generates mouth movements from audio with latent diffusion and no intermediate motion representation. | Sync Labs generates lip-synced video from video or image input plus audio or text through Studio and a REST API. |
Plans
Sync Labs
- FreeFree
- FreeFree
- Hobbyist$5 a month
- Creator$19 a month
- Growth$49 a month
- Scale$249 a month
- EnterprisePriced on request
In their own words
LatentSync
LatentSync is a free, open-source lip-sync method for Linux and self-hosted deployment. It uses audio-conditioned latent diffusion models: Whisper converts mel spectrograms into audio embeddings, which enter a U-Net through cross-attention layers. The project offers a Gradio application and command-line inference, plus checkpoints, training code and a data-processing pipeline. LatentSync 1.6 was trained on 512 × 512 videos to address blurry teeth and lips. Minimum inference memory is listed as 8 GB of VRAM for version 1.5 and 18 GB for version 1.6. More inference steps can improve visual quality but slow generation; increasing guidance scale can improve lip-sync accuracy while introducing distortion or jitter. Training configurations for the U-Net require 20–55 GB of VRAM, depending on configuration. The documented pipeline uses PySceneDetect for scene detection and InsightFace landmarks for face transformation. The repository lists Apache-2.0, while the model card lists openrail++.
Sync Labs
Sync Labs provides an AI lip-sync API that generates mouth movements matched to video and audio. Its listed models include lipsync-1.9, lipsync-2, lipsync-2-pro, react-1, and sync-3. The introduction lists 512×512 face resolution for lipsync-2 and lipsync-2-pro, and native 4K for sync-3. The models use audio waveforms rather than text and support 29 spoken languages, including tonal languages such as Mandarin and Thai. Use cases include dubbing, localization, personalized video messaging, e-learning, marketing, entertainment, media, and gaming. Developers can use a REST API and official Python and TypeScript SDKs; documented integrations include Adobe Premiere, DaVinci Resolve, ChatGPT, an MCP server, ComfyUI, and ElevenLabs. Inputs include MP4 video and WAV or MP3 audio, provided by public URL, API upload, or media-library asset ID. The free plan provides 3 generations per month, each up to 20 seconds, and no credit card is required. Hobbyist costs $5 a month plus $0.05/sec; paid plans also list usage charges. The service is available via API and web.