Vaani

Lip-synced AI dubbing for creators, brands and studios

Productivity

Artificial Intelligence

Audio

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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?

the 'holds the meaning across languages' claim is the hardest one to deliver on and the one that gets least attention in dubbing tool demos. most AI translation optimizes for literal accuracy and produces dubbed content that sounds technically correct but uses phrasing that a native speaker would never use. cultural meaning and idiomatic expression are different problems from translation quality. how are you handling localization beyond translation and is there a human review step for languages where the AI translation quality is lower

Love that you guys are focusing on translating the "meaning" and tone rather than just a literal word-for-word translation. Keeping jokes or specific idioms landing across languages is the hardest part. How much manual editing do you usually have to do to the script before rendering the final dub?

The fast-dub seems handy. I'll just add that if you would like a promotional "war room" for your projects, see The Den in mentionfox.com Engagement HQ for everywhere and to everyone you should comment/reply on, a Grants Search module, Accellerators Search & Apply Advice, and far more. Without it I'd be hard-pressed as a solopreneur.

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.

Lip-sync is key on video creation/edition and it's gonna help enough on it. Wish you all the best here guys!

You said the quality of the auto output is the thing people need to see first. How consistent is that first render when the input is messy, multiple speakers, background music, fast cuts? I'm curious whether a new user reliably hits the wow on clip one, or whether the result leans a lot on having clean source audio. If it does, do they find that out before they burn their 7 free minutes on the wrong test video?

Voice-preserving across languages is the right wedge - I build voice agents and the same gap exists in cloning: "close enough" voices break trust within seconds. Watch-time / ranking falling in non-English markets when you ship generic-voice dubs is a brutal stat. Following.

I need this to be a plugin for Zoom / MS Teams - working live during the meetings.

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?

The creator-trust angle here is strong. Bad dubbing doesn’t just sound off; it can make the original creator feel less credible in a market they’re trying to enter.

One workflow detail I’d care about: can users review the meaning/tone changes separately from the lip-sync render? For brand, education, and founder-led videos, the scary failure mode isn’t only “the lips drift,” it’s “the joke, caveat, or claim survived grammatically but not contextually.”

If Vaani can show a lightweight line-by-line review before final export — original intent, localized wording, voice/tone note, then render — I think teams would trust it for much higher-stakes content than simple back-catalog translation.

Wishing you success with the launch! Out of curiosity, which type of content do users test first: short-form videos, ads, or long-form series?

Do you let users review and change individual lines before export, or is it mostly one click end to end?

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! 🔥

Voice preservation is the part I keep coming back to. Most dubbing tools flatten the speaker into a generic AI voice, so holding the original timbre across 40+ languages is a real differentiator. I work on voice AI for older adults, and we've found that a familiar-sounding voice changes how much people trust and engage with it, sometimes more than raw transcription accuracy. Curious how you handle emotional prosody: does the clone carry tone and pacing across languages, or mostly the timbre? Impressive that the lip sync stays frame-accurate at that scale.