What is video dubbing?
Video dubbing is the process of replacing or overlaying the original spoken audio in a video with new audio—typically in a different language or voice—while keeping the visual content the same. In an AI dubbing workflow, this means generating the dubbed audio with a voice model and syncing it back to the video.
How does AI video dubbing work?
In Synclip, AI video dubbing uses two steps in sequence: voice generation in Audio Studio, where you clone the source speaker's voice or choose a preset voice, then enter the dubbed script to generate the audio track; followed by lipsync, where that generated track is synced to the video so the on-screen speaker appears to say the new dubbed content.
Can I use video dubbing for multilingual content localization?
Yes. Synclip's Audio Studio supports 77 voices across 7 or more languages, so you can generate dubbed tracks for the same video in different languages from the same workflow. This makes it practical for localizing creator content, marketing videos, and product demos without separate recording sessions.
What is the difference between video dubbing and subtitles?
Subtitles add text overlays to the original audio. Video dubbing replaces the spoken audio itself with a version in a new voice or language. Dubbing produces a more native viewing experience for multilingual audiences, while subtitles preserve the original audio. Synclip focuses on the dubbing path—replacing or generating spoken audio—rather than subtitle generation.
When should I use video dubbing instead of translation-only tools?
Use video dubbing when you want the video to sound natural in the target language, not just display translated text. Dubbing is particularly useful when the on-screen speaker needs to appear to be speaking the localized content, which is common in product demos, educational videos, and branded creator content.
Is video dubbing suitable for creators and teams?
Yes. Synclip's dubbing workflow runs in the browser without specialized software, making it accessible to individual creators and small teams. The same process scales for recurring localization work because the voice and lipsync setup can be reused across multiple videos.