AI Dubbing for Video and Audio, in 600+ Languages

DubbyLab is an AI dubbing pipeline that turns any video or audio file into natural-sounding dubs across 600+ languages and locales. Automatic transcription, context-aware translation, voice cloning and timeline alignment run as one workflow, so content sounds native in every market instead of just being subtitled.

Automatic Transcription & Speaker Detection

Upload a video, an audio file, or paste a link, and DubbyLab splits the content into timed segments while telling speakers apart automatically — the foundation multi-speaker dubbing depends on.

Context-Aware Translation

Every segment is translated with tone and timing in mind, and stays fully editable before audio is generated, so a human reviewer can correct anything before it ships.

Natural Voices & Voice Cloning

Choose a studio voice per speaker, or clone an existing voice so a dub still sounds like the original speaker. Multi-speaker projects get a distinct voice per person, not one flattened narrator.

Automatic Timeline Alignment

Dubbed lines are fitted back to the original timing, segment by segment, on a visual multi-speaker timeline that shows exactly what's translated, dubbed, or still pending.

One-Click Merge & Export

Merge the new audio track back onto the source video, or export the dubbed audio on its own — ready for every language DubbyLab supports, from the same upload-to-export workflow.

Who Uses AI Dubbing

Product and marketing videos, online courses and internal training, interviews and panel discussions, short-form social video, and back catalogs of previously English-only content all benefit from automated dubbing that would have been too slow or too expensive to localize with a traditional studio process.