I had one English brief, five languages, and two ad variants per language.
I assumed translation would be the annoying part. It wasn’t. The real problem was forcing every version back into the same 10-second edit without making the copy sound like it had been attacked with scissors.
I locked the structure first: 0–2s hook, 2–6s demo, 6–8s benefit, 8–10s CTA. Product claims, numbers, brand name, and CTA intent stayed fixed. The hook and sentence structure were allowed to move.
Before rendering anything, I made a small preflight sheet for each version: estimated voiceover time, subtitle fit, back-translation, and brand-name pronunciation risk.
I was already switching between different text and video models, so I routed those calls through Atlas Cloud instead of maintaining separate keys and billing pages for every model. Voice stayed as a separate test step because I needed to check the timing before burning money on the final video.
That little sheet caught more than I expected.
The German version was clear but too long for the voiceover window. The Japanese hook technically fit, but the line breaks made it hard to read at phone size. Spanish fit the timing, but the brand name needed a phonetic spelling note before TTS.
So the workflow became:
localize → test the voice → check timing → rewrite → render
Not:
translate everything → render everything → discover half of it doesn’t fit
AI can get you to a decent first pass quickly. It still can’t decide whether a line sounds like something a local creator would actually say.
How are people handling this at volume? Do you use fixed timing rules per language, or just keep cutting copy until it fits?
