Sync Labs (operating at sync.so) was founded in 2023 to make video as editable as text. The founding insight is that the single hardest thing to change in a finished video is a person's face and mouth — once footage is shot, any change to the words requires a reshoot. Sync's models break that constraint by realigning lip movements to arbitrary new audio, enabling seamless dubbing, translation, and script edits without a camera.
The team brings deep research credibility: its founders are connected to wav2lip, one of the most influential open lip-sync models in the field. That heritage shows up in the quality of the company's zero-shot lipsync, which works on real human faces without per-subject training. The flagship offering is a developer API for real-time and batch lipsync, letting product teams embed visual dubbing into their own applications — localization pipelines, avatar products, personalized marketing video, and more.
Sync Labs raised a $5.5 million seed round led by Google Ventures (GV), with participation from Y Combinator, Creator Ventures, Rebel Fund, and a roster of angels. The team also won the AI Grant from Nat Friedman and Daniel Gross, a competitive program backing frontier AI startups. Graduating at the top of YC's W24 batch added further validation.
The company sits in the fast-growing AI dubbing and digital-human tooling space alongside companies focused on translation and avatars. Its differentiation is an API-first, research-led approach centered specifically on the lipsync primitive — the hardest technical piece — rather than a full end-to-end consumer app. That positioning makes Sync a building block other video products can adopt.
For businesses, Sync Labs unlocks global distribution: a single piece of video content can be localized into many languages with natural, lip-accurate dubbing, dramatically expanding addressable audience without reshooting. As demand for multilingual and personalized video grows, an API that controls the human face in footage is an increasingly strategic layer of the stack.