Individual skill
sync-labs-lipsync
Generate AI lip sync and visual dubbing with Sync Labs (sync.so) — choose the right model (sync-3, lipsync-2, lipsync-2-pro, lipsync-1.9.0-beta, react-1), build the POST /v2/generate request, host inputs, handle async jobs via polling or webhooks, run batch dubbing/localization, and review output for sync accuracy and identity preservation. Use when an agent must re-voice, dub, translate, personalize, or re-time the mouth of a talking-head video (or animate a still face from audio), or must debug a failed/rejected Sync generation. Also covers consent, likeness, and rights obligations for editing a real person's face.
skills/providers/lip-sync/sync-labs-lipsync/SKILL.md
Source commit 8c85352d5d75d4dcbe58480bd138e37b9742bab1
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- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
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- Repository stars (not skill ratings)
- 241
- Repository last updated
- Jul 14, 2026
- License
- MIT
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- agent Repository topic
- agentic-ai Repository topic
- ai Repository topic
- ai-audio Repository topic
- ai-video Repository topic
- claude Repository topic
- codex Repository topic
- copilot Repository topic
- cursor Repository topic
- generative-media Repository topic
- design Derived category
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- engineering Derived category
- engineering-web Derived category
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# Sync Labs lip sync and visual dubbing
Sync Labs (product domain `sync.so`, API host `api.sync.so`) is a hosted API and web
studio that regenerates a speaker's mouth (and, on newer models, jaw/expression/head)
to match a new audio track. It does not generate whole people or scenes: the input is
an existing talking-head video (or, on `sync-3`, a single still face), plus target
audio (a file, a hosted URL, or text synthesized through an integrated TTS provider).
Everything outside the driven face region — background, body, hair, clothing — is left
untouched and composited around the regenerated face. (Documented: sync.so/docs
introduction and "how AI lip sync works", verified 2026-07-10.)
Use this skill when the job is: dubbing/localizing a video into another language,
re-timing lips to corrected or re-recorded audio (ADR-style), personalizing a base
video with per-recipient names, cutting podcast/interview clips with clean lips, or