One video, ten languages,
dubbed and lip-synced by an agent
A video that works in one market usually needs a dubbing studio booking per language to reach the next nine. That is slow and expensive enough that most teams just subtitle instead. Our pipeline translates the script, generates a matched voice in each target language, and lip-syncs the result. A native speaker reviews every language before it ships.
Why most video stays subtitle-only
A video that performs well in its home market usually just gets subtitled for everywhere else. Dubbing has meant booking a studio and a voice actor per language. That costs more and takes longer than most content calendars can absorb for more than one or two priority markets. Most video content never gets a real local voice treatment. Subtitle-only versions underperform dubbed ones on platforms where autoplay starts muted, or where literacy in the subtitle language is lower than spoken fluency.
Consistency is the second cost. When dubbing does happen, it is often outsourced per language to different vendors. Each one produces a different voice, tone and glossary choice, instead of one coherent brand voice across markets.
Turnaround is the third. A product launch or a seasonal campaign is time-sensitive. A studio booking cycle per language means some markets get the video weeks after it actually matters.
How the pipeline dubs a video
It takes the source video and script, and translates it for spoken delivery rather than literal text, keeping idioms and pacing natural in each target language. It generates a voice matched to the original speaker’s tone across up to 10 languages in one run. It also adjusts lip-sync, so the dubbed audio tracks the speaker’s mouth movement closely enough not to distract the viewer. That detail is what makes dubbed content feel native rather than overlaid.
A glossary covers brand terms, product names and anything else that should stay untranslated. It gets applied consistently across every language, so the same product keeps the same name everywhere. Every language version then goes to a native speaker for review: meaning, tone and delivery, not just whether the translation is grammatically correct.
It typically connects to your video editing or storage tool for the source file, and to whatever platforms or ad accounts carry the dubbed versions per market.
What your reviewers still own
Native speaker review of every language is a fixed step, not an optional one. Translation quality and tone are judgment calls a machine should not make unchecked. Deciding which markets get priority stays with your team. So does catching anything culturally off in a particular market, even when the translation is technically correct, with the help of the reviewer there.
Safeguards built in
Every dubbed version is logged against the source script and the glossary used, so a reviewer can trace a translation choice back to its source. Nothing publishes without the native speaker review step signed off per language. The glossary is a hard constraint: brand terms cannot drift between languages, even as the surrounding translation varies.
Before it runs unattended, we test it against a sample of your own video so your team sees exactly what it would have produced. Every build ships with a short written runbook, so your team can pause it, adjust a threshold, or roll it back without waiting on us. The running-cost estimate below is a starting budget you set, with an alert before it is crossed.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $700 | Script translation tuned for spoken delivery, not literal text | 5 to 10 days per language set |
| Department package | from $2,500 | dubbing, subtitles and video clipping across your content and marketing team | 2 to 4 weeks |
Running cost is usually $10 to $80 a month in model usage depending on volume, with a budget cap set before launch.
Related
Pair this with subtitles and captions pipeline for markets where subtitles are preferred over dubbing. UGC-style video generation with avatars can localize avatar scripts the same way. For splitting a long dubbed video into social-ready clips, see video chaptering and clipping for social. The full package breakdown is on the AI agents service page and the performance marketing service page. For a real build of a multilingual content pipeline, see the AI video content pipeline case study and the 11-type content agent case study.
Ready to give your best video a real voice in ten markets? Get in touch and we will scope your target languages in the first call.
Tired of doing this by hand? We can take the whole routine off your team, not only this step: Routine takeover, from $400 →
FAQ
How much does AI dubbing cost?
From $700 per video for up to 10 languages, live in 5 to 10 days depending on review turnaround from native speakers. Ongoing dubbing of a regular video output is quoted per batch.
Does the dubbed voice sound like the original speaker?
The voice generation matches the tone and pacing of the original speaker as closely as the target language allows. A native speaker reviews delivery, not just translation accuracy, before approval.
Who checks the translation is actually correct, not just fluent?
A native speaker reviews every language before it publishes, specifically for meaning and tone, not only grammar. A fluent but wrong translation is worse than an obviously rough one.
Which languages can it dub into?
Up to 10 per pipeline run, chosen from your target markets. A common set covers Spanish, Portuguese, French and German in the West, plus Thai, Vietnamese and Indonesian in Southeast Asia. We build around your actual markets, not a fixed list.
What happens to brand terms and product names across languages?
A glossary of brand terms, product names and devices that should not be translated is set once and applied consistently across every language in the batch.