Use cases

Need to localize videos for international audiences but can't afford voice actors or dubbing studios.

Translate your video into any major language with AI: the audio is regenerated in the target language.

A faceless YouTuber ships 8 language versions of the same explainer (English, Spanish, Hindi, Mandarin, Portuguese, French, Indonesian, Arabic) from a single source video.

Need to test ad creative across markets but localization slows every iteration to a crawl.

Translate winning ads into every target market in minutes. Add burned-in subtitles for sound-off social feeds.

Five winning 30-second ads into 6 languages: 30 translation jobs, 30 × 30 s × 2 credits = 1,800 credits.

Want global students but English-only courses bleed away non-English signups.

Translate course videos into target languages. Auto-generate subtitles for accessibility and SEO on YouTube.

An online instructor adds Spanish, Portuguese, and Hindi versions to a 20-module course in a single weekend.

Client wants the same video in 5 languages plus 4K final masters — and the budget assumes one of each.

Use Translate + Upscale + Subtitler as a localization+QC pipeline. Bill the savings as margin.

A solo marketing freelancer delivers 5 localized versions of a brand video in a day, then 4K-upscales the masters before handoff.

Traditional video dubbing requires voice actors and engineers — slow, expensive, hard to scale.

AI translation regenerates the audio track in any target language. Pair with Subtitler for burned-in subtitles.

A localization agency turns a corporate training library into Brazilian Portuguese without booking voice actors, then has a linguist review each video.

CEO records a quarterly update in English; non-English employees engage half as much.

Translate the update into every major language your workforce speaks. Add native-language subtitles too.

A 5-minute quarterly CEO update in 4 languages: 4 jobs, 300 s × 2 credits × 4 = 2,400 credits.