OneSky’s Localization Agent automates translation with a multi-agent structure that mirrors how a translation agency actually works: separate agents act as translator, reviewer and quality evaluator rather than one model producing a single pass. It covers more than 100 languages and 800 dialects across 30-plus file formats for iOS, Android, web and documents, enforces glossaries and style guides for brand consistency, imports and exports translation memory, accepts screenshots for context, and flags quality issues into a dashboard. Post-editing by humans is available as a service. There is a 14-day trial with no card.
Two features address the failures that make machine localization embarrassing rather than merely imperfect. **Screenshot context** is the fix for the classic UI translation disaster — a string reading ‘Save’ translated as the verb when it labels a button, or a word that overflows its container in German — because the model can see where the text lives. And the reviewer-and-evaluator split is the right structure: a second pass judging a first is how translation quality has always been produced, and collapsing it into one generation is what makes bulk output read as bulk output. Translation memory import means an existing investment carries over rather than being abandoned.
Two notes. ‘20% more accurate than standard AI translation tools’ has no methodology, baseline or named comparison behind it and should be read as marketing. And no rates are published at all — the trial is genuine but a localization budget cannot be planned from it, and this is a category where cost scales with word volume in ways worth modelling before committing a product to it.
