AI Dubbing for Video
AI dubbing here is not a text-to-speech pass over a raw translation. The localized script is timed against the picture you already cut, so the new voice lands in the pauses the original speaker left, with the music and effects still audible underneath.
The translated script is fitted to the existing picture: pauses, speaker turns and cut points stay where they are. A voice reading a literal translation ignores that, which is why automated dubs arrive half a second late.
Voice cloning is applied across the language change, so the person on screen keeps their own voice in the localized take instead of being replaced by a narrator.
Talking-head shots are the case that needs it. Voice-over, b-roll and cut-heavy edits normally do not, so it is applied where the mismatch would read rather than everywhere.
Why localize
Solve the real blockers in video expansion
These pages are built around specific use cases, target languages, and publishing goals instead of generic translation copy.
Subtitles are not enough for some viewers
A viewer listening with sound on — commuting, cooking, holding a phone in one hand — does not read a second language. Reading also competes with the on-screen text the market still has to parse.
Studio dubbing does not scale across a catalogue
A manual pass is billed per finished minute and per language, so a few hundred existing videos stop being a publishing decision and become a budget decision.
Machine output is spotted inside a minute
The failure is audible: literal phrasing, a line that runs past the cut, stress on the wrong syllable. Review time then goes into the script instead of into the content.
Industry context
Why this use case needs purpose-built localization
Priced per finished minute
Dubbing is billed against the length that ships, not the length of the source file, so the number to plan with is the localized runtime after trimming.
Quality is won in the script
A dub that lands badly almost always failed at translation: a line that cannot be said in the time available. Timing is therefore checked on the script before any voice is rendered.
Two caption layers, one frame
A subtitle file is an upload; a burned-in subtitle is part of the picture. A localized release has to decide which one the viewer reads, and the old burned-in text has to be handled before the new one arrives.
Voice consent is a gate, not a setting
Cloning a voice into another language is still cloning that person’s voice, so it applies to your own material or to a session cleared for the purpose.
Workflow
From source video to multilingual publishing
Start from the video file
Upload the master edit or the published version you hold the rights to. There is no link-fetching step in this pipeline.
Get a time-aligned transcript
Speech comes out with speaker turns and timestamps, so the script can be checked before anything is translated.
Translate with your glossary
Terms, names and the register choice are held per project and applied line by line, so a later episode does not rename what an earlier one established.
Adapt the lines to the picture
Translated lines are trimmed and re-timed into the pauses that already exist, while the music and effects bed stays under the new voice.
Render the dubbed audio
A cloned or stock voice is generated per speaker, with lip sync on the shots where the mouth is visible and the take holds.
Export captions and clear old text
A translated subtitle file comes out of the same pass, and burned-in subtitles from the original release can be erased so the new language has its own space in the frame.
Use cases
Content types ready for this workflow
Back-catalogue releases
Re-voicing an existing library into a second language, where cost per finished minute decides which titles get a localized release at all.
Presenter and interview video
Courses, explainers and talking-head material, where the speaker is on screen and the mouth is the thing that has to agree with the new audio.
Serialized short-form video
Episodes that must keep the same translated character voice across a season, so the audience is not re-learning who is who every week.
Ad and product variants
One master cut adapted per market for paid placement, where listening works when reading a caption on a phone does not.
Markets and platforms
Map the content to real distribution contexts
Markets disagree about dubbing and subtitling
Some audiences receive foreign content as dubs and treat subtitles as unfinished work; others are the reverse. Which one you are releasing into decides how much of the review budget goes to the audio.
Caption formats are not interchangeable
A subtitle file that passes on one platform can be rejected on another for line length, reading speed or timing, so the localized export is checked against the publishing target rather than against the source file.
Discovery is local to a language
Search, suggested and browse behaviour all happen inside a language, so a dubbed video that keeps source-language metadata is a new upload nothing points to.
Pre-publish QA
What to check before publishing localized video
Listen to the first thirty seconds
Register, pacing and the room tone behind the voice are all there, before a content problem would be forgiven.
Check every line against its cut
A line that overruns the shot is what breaks the illusion first. The fix is fewer words, not a faster voice.
Match names and terms to the glossary
One pass over the exported script catches the renamed product and the character whose name changed between episodes.
Confirm the captions match the audio
The exported subtitle should be the wording the voice actually speaks, or a viewer reading along gets a different translation from the one they hear.
Frequently asked questions
Further reading
Go deeper on related localization topics
Related pages
Explore related localization pages
Dub one video and see what it costs
Start with a single file: the transcript, the localized script and a dubbed take come back with the per-minute price shown before you commit a catalogue to it.
10 free minutes · from $0.20 / minute · no card required · lip sync included