Use Cases
Sync Labs’ lip sync API enables four primary use cases: video dubbing, e-learning localization, personalized video messaging, and content creation. It fits into any workflow where you need to change what someone appears to say in a video — whether that means translating into a new language, personalizing a message, or creating entirely new dialogue. Here are the most common applications.
Which model fits each use case?
Which Guide Should You Follow?
Frequently Asked Questions
Can Sync Labs dub videos into other languages?
Yes. Sync Labs is designed for multilingual video dubbing. Provide a translated audio track in any language and Sync Labs generates lip movements that match the new audio naturally. You can combine Sync Labs with TTS services like ElevenLabs to build end-to-end translation and dubbing pipelines.
Which use case is cheapest?
Cost depends on video duration and the model you choose, not the use case. The lipsync-1.9.0-beta model offers the fastest and most affordable processing for simple videos. Use the cost estimation endpoint to check pricing before submitting a generation for any workflow.
Can I use Sync Labs for AI avatars?
Sync Labs is optimized for lip syncing real human faces in video, not for generating AI avatars from scratch. You can use Sync Labs to make a recorded person appear to say new dialogue by providing different audio, which is commonly used for personalized video messaging and content creation.

