ABSTRACT
01.What AI lip sync is
A lip-sync model warps the mouth to match the new audio; that solves classic dubbing's most visible mismatch, and nothing else.
| LAYER | WHAT HAPPENS TO IT |
|---|---|
| Lips | Re-timed to the new audio. |
| Voice | Not lip-sync's job; where most dubs lose the person. |
| Rest of the face | Still performing the old language, half a beat off. |
| Scene | The noise bed (music, effects, ambience) and the laughter: untouched or damaged upstream. |
02.Why lips alone fall short, measured
All numbers below come from paired studies on the same clips, published in full at /benchmark.
more background-sound damage from ElevenLabs (11.92 vs 3.22 dB)
VS THEIR NEWEST DUBBING V2 (ALPHA) · 111 PAIRED DUBS · MUSIC, EFFECTS, AND ROOM AMBIENCEfewer important translation errors from Familiar (29 vs 64)
SAME STUDY · 3 LANGUAGESof expert human translation quality from our production pipeline
FRENCH, CHINESE, HINDI, INDONESIAN (FIRST PASS FOR EXPERT PROFESSIONAL TRANSLATORS)03.Lip-sync and everything past it
Familiar generates the voice and the face together, so the edit extends past the lips:
- The whole face: eyes, brow, cheeks, and head re-perform the sentence in the new language.
- The voice: the speaker's own, in the new language.
- The scene: the music and the laughs stay where they were, and the mix comes back in true 5.1 or stereo.
the translation, the speaker's own voice, the scene audio, and the lip-sync, delivered up to 4K with a true 5.1 or stereo mix, in one render of recorded video, by Studio contract
ELEVENLABS QUOTED $3 AT CHECKOUT, AUDIO ONLY · AUGUST 5, 2026live dubbing: experimental, coming soon
How a studio applies this to a series: Why the Dub Feels Off Abroad, and How Studios Fix It.
REFERENCES
Multimodal Translation
Familiar Labs builds generationally better dubbing. Voice and lips. Pushing into real time. They're a team of 8 with PhDs and professors, backed by Samsung, RedBird, Gold House. Our mission
FAMILIAR · THE LAUNCH FILM · 2:31
