AI Dubbing That Keeps the Speaker's Voice
DubbyLab turns any video or audio file into a natural-sounding dub — automatic transcription, translation, voice generation and timeline alignment in one pipeline, across 600+ languages and locales.
What is AI dubbing?
AI dubbing replaces the spoken audio in a video with a new voice track in another language, generated automatically instead of recorded by a human dubbing actor in a studio. A transcription and translation step produces the script, and a speech-generation model performs it in the target language.
Done well, AI dubbing keeps the timing, tone and — with voice cloning — the identity of the original speaker, so the result sounds like a native version of the content rather than a voiceover laid on top of it.
How DubbyLab performs AI dubbing
- Upload or link a source — Add a video file, audio file, or a YouTube / social link, and tell DubbyLab how many speakers to expect.
- Automatic transcription — Speech is split into timed, speaker-labelled segments — the foundation multi-speaker dubbing depends on.
- Context-aware translation — Each segment is translated with tone and timing in mind, and stays fully editable before any audio is generated.
- Voice generation — Every segment is re-voiced with a studio voice, or a cloned version of the original speaker's voice, per speaker.
- Timeline alignment & export — Dubbed audio is fitted back to the original timing and merged onto the source video, or exported on its own.
Dubbing with the original speaker's voice
For each speaker, DubbyLab can either assign a studio voice or clone the speaker's own voice from the source recording, so the dubbed version still sounds like them rather than a generic narrator.
Multi-speaker content gets a distinct voice per person automatically — interviews, panels and multi-host videos don't collapse into a single flattened narrator voice.
Where AI dubbing is used
- Product and marketing videos
- Online courses and internal training
- Interviews and panel discussions
- Short-form social video
- Back catalogs of previously English-only content
600+ languages, one pipeline
Every language DubbyLab supports goes through the same transcription, translation, voice generation and alignment pipeline — no separate tools per market.
Frequently asked questions
How many languages does DubbyLab support for dubbing?
DubbyLab currently supports 600+ language and locale combinations, covering the full pipeline — transcription, translation, voice generation and timeline alignment — for each one.
Does DubbyLab keep multiple speakers straight?
Yes — DubbyLab detects individual speakers automatically and assigns each one a distinct voice in the dub, instead of one flattened narrator for the whole video.
Can I review the translation before the dub is generated?
Yes. Every segment is translated first and stays fully editable, so you can correct wording, tone or timing before any audio is generated.
What's the difference between AI dubbing and subtitles?
Subtitles add translated text on screen while the original audio keeps playing. AI dubbing replaces the audio itself with a spoken translation, so viewers can watch without reading.
Bring AI dubbing to your content
We're onboarding early access teams first. Tell us about your use case and we'll reach out.