AI video for regional and vernacular OTT: localizing trailers and promos at scale

AI video for regional and vernacular OTT: localizing trailers and promos at scale

A regional streaming service ships the same title into a dozen languages, and dubbing each promo is slow and costly. Here is how AI localizes trailers and promos at scale from one master.

By The Morphic Team · Updated 2026-09-10

Regional and vernacular OTT platforms localize trailers and promos by starting from one master, transcribing and translating its audio, regenerating the voice in each target language, then subtitling and exporting a version per market, all in one place. The workflow is short: start from the master, transcribe and translate, regenerate the voice per language, then subtitle and export. Because every step lives in the same project, a title that ships into a dozen languages becomes a set of translate-and-regenerate passes rather than a dozen separate dubs, and the visuals stay the master's visuals throughout.

Steps at a glance

  1. Start from the master promo
  2. Transcribe and translate the audio
  3. Regenerate the voice per language
  4. Subtitle and export per market
  5. Hold the visuals steady across every version

How a regional OTT team localizes a promo, step by step

1.

Start from the master promo

Lock the master trailer or promo first: the visuals, the pacing, and the title treatment that every market will share. This is the version you localize outward from, so it is worth getting right before you branch. Keeping one master rather than editing each language from scratch is what stops a dozen markets from drifting into a dozen slightly different films.

2.

Transcribe and translate the audio

Transcribe the master's audio, which auto-detects the source language, then translate the transcript into each target language for the market. The transcript becomes the script for both the localized voiceover and the subtitles, so the translation is done once and feeds both. This is where a human reviewer checks that the wording lands in the market rather than reading as a literal rendering.

3.

Regenerate the voice per language

Generate a directed voiceover in each target language, choosing tone and pacing so the read sounds native to the market rather than flat. This is localized performance, a voice generated in the new language, not a clone of the original narrator. A promo that felt right in the source language is re-voiced per market without re-recording a single line, and the visuals never change.

4.

Subtitle and export per market

Style the translated subtitles to the brand, font, weight, color, and position, and burn them onto the cut, with word-level timing where a market reads captions on muted feeds. Then export a version per market from the same project. Free exports carry a watermark; a paid plan exports clean and at higher resolution for customer-facing surfaces, and a finished cut can be exported to higher resolution to meet a delivery spec.

Here are a few of the finished versions this produces, each localized from one master rather than reshot:

Master promo

Subtitled cut

Re-voiced version

Per-market reshoot or dub versus AI localization

The change is less about any single language and more about how localizing a whole catalog shifts when every version comes off one master. Here is the shift, honestly drawn.

StageReshoot or dubAI localization
The scriptA translation vendorTranslate the transcript
The voiceA dubbing sessionA directed voice per language
SubtitlesA separate captionerStyled from the translation
Adding a marketA new productionAnother pass on the master
Best used forA flagship dubA whole vernacular catalog

Put it together

Localizing at scale is not about re-producing a promo in every language; it is about branching one master into every market with translated voice and subtitles while the visuals stay put. Start from the master, transcribe and translate once, regenerate the voice per language, then subtitle and export per market in the same place. The value that matters is how cheaply a new market becomes another pass rather than another production. The lowest-risk way to feel it is to localize one recent promo into two languages and compare the cost honestly. The subtitle translator handles the translated captions, and how to add AI voiceover to a video covers directing the localized read so it lands like a native promo.

Perguntas frequentes

How does AI localization actually work here?
It is transcribe, translate, subtitle, and regenerate the voice in another language, not a reshoot. The master promo's audio is transcribed, the transcript is translated per market, a voiceover is generated in each target language, and translated subtitles are styled and burned onto the cut. The visuals stay the master's visuals, so you localize the language without re-producing the film.
Does the translated voice clone the original narrator?
No. The localized read is a directed voice generated in the target language, chosen for tone and pacing to fit the market, not a clone of the original narrator's exact voice. You direct the performance so it lands like a native promo rather than a flat translation, which is usually what a regional audience responds to anyway.
Can we keep the same brand look across every language version?
Yes, because every version comes off one master in the same project. The visuals, the title treatment, and the pacing are shared; only the voice and subtitles change per market. That is how a service keeps a title recognizable across a dozen languages instead of letting each market drift into its own look.
How many markets can one master feed?
As many as you localize for, because each new language is a translate-and-regenerate pass on the same project rather than a fresh production. A master promo becomes a market-ready set of versions from the work you already did, and adding a language later is another pass, not a new edit.