Vaani
Lip-synced AI dubbing for creators, brands and studios
656 followers
Lip-synced AI dubbing for creators, brands and studios
656 followers
Vaani is a voice-preserving AI dubbing tool to help you dub in 40+ languages, in one go, at a fraction of the cost of a traditional dub session. Where other tools give you a generic AI voice and lips that drift off-beat, Vaani clones your voice, preserves your music, and holds the meaning across languages, with frame-accurate lip sync. Built for anyone creating videos, from creators and brands to media companies, OTTs and studios.
Interactive
Free Options
Launch Team / Built With
ReplyMind
Love how Vaani focuses on keeping the creator’s identity intact instead of just translating words.
The frame-accurate lip sync + voice fingerprinting sounds like a game changer, especially for long-form content and ads.
Quick question: how does it handle humor, cultural nuances, and fast-paced dialogue?
Killing it Abhinav this has huge potential! 🔥
Vaani
Hi Moon, thanks for that. Three good questions, taken in order:
Humor. This is the hardest of the three. Universal humor (timing, irony, sarcasm in delivery) carries over because the voice clone holds onto cadence and the way you stress a punchline. Regional humor and wordplay still benefit from a human pass, it is fundamentally a translation problem more than a voice one. We treat that as something to flag, not pretend we have solved.
Cultural nuances. The translation step preserves intent and emotional weight over exact words. Brand names, regional terms, and references that do not have direct equivalents get adapted rather than literally translated.
Fast paced dialogue. The lip sync runs frame by frame so the timing stays tight even when the speaker rattles off lines. The voice clone carries the pace from the original audio, so the dub does not slow down to fit the new language, it adjusts the rhythm to stay in sync with how you actually talk.
Appreciate the kind words. More soon.
Abhinav
SonOf
The lip-sync is the hard part most dubbing tools skip, so leading with it is a strong signal. Congrats on the launch. How do you handle emotion and tone carrying across languages — does the dub keep the original delivery?
As a music producer the "preserves your music" bit is what got me — most dubbing tools trash the background track the second they touch the vocal. Are you splitting out the music stem and dropping the cloned voice back over the original mix, or regenerating the whole thing? Curious how clean the music stays.
Very interesting, I actually need a similar application. Can it read the text aloud with me (in my case, an article)? If so, roughly how much would it cost to create a video from a 5-page A4 article?
I must say this is very impressive, I love that it not only caters to the original emotions but also translates it based on how its communicated in the transcribed language. Curious to know, I'm Nigerian, would it work for Nigerian/African languages too?
Congrats on the launch, Abhinav! This solves a massive scaling issue for brands and studios. Regarding long-form content (like 30+ minute videos), how does the processing time scale? And do you support multi-speaker tracking if a video has an interview format?