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We built a tool to dub any video in the original voice in 40 languages

Details

External ID
48433947
Source
HN
Company
—
Product
We built a tool to dub any video in the original voice in 40 languages
Website domain
vaani.media
Launched
June 7, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.4952185792349727
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

We kept seeing the same problem: creators make great content but the moment they dub it into another language, everything falls apart. Robotic voice. Music gone. Meaning lost. Lips not matching. So we built Vaani. Whatever language you create in, wherever you are in the world, your content can reach a global audience. We clone your voice, match your gestures, preserve your music, and optionally sync your lips to the new language. 10+ Indian languages, 20+ global languages, all in minutes. We built it for 2 reasons:So creators never have to sound like a robot in another language again So the same video you already made can reach a global audience without filming twiceWould love your feedback. app.vaani.media

Enrichment

Theme
ai translation and localization tools
Vertical
Media & entertainment
Function
Content generation
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
video dubbing in original voice for multiple languages
Manually corrected
False

Could you build this?

Partial While an orchestration app can be vibe-coded, multi-speaker voice cloning, scene-aware audio track separation/re-mixing, and realistic video lip-syncing require heavy ML pipelines and specialized audio-visual models.

What it would actually take: The architecture combines an audio processing pipeline (demucs/spleeter for background music separation, Whisper for ASR, LLMs for scene-aware translation) paired with expressive TTS cloning models (like XTTS/Bark or ElevenLabs API) and video lip-sync generative models (Wav2Lip or proprietary diffusion sync). The hard part is ensuring precise sync/pacing without drift across 40+ languages and preserving emotion, requiring heavy GPU compute and media engineering.

Discussion

5 comments analyzed.

Feature requests: Add more languages (75+ planned)

Competitors

Other products that read as similar to this one — 207 launches clear the similarity bar, closest 8 shown.

Attention rank: #99 of 208 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 221 days after the earliest competitor.

Other launches for this product

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