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AppDrift translates app store metadata into 40+ languages in under 2 minutes and publishes to both major stores.
Grounded in available product and source data
Two minutes is what AppDrift claims for translating an app's full metadata into 40+ languages — a task that, done manually or through a generic translation tool, usually means juggling character limits, brand tone, and store-specific formatting one language at a time.
GPT-4 and Gemini generate the translations, which the site describes as context-aware and character-limit compliant, meant to preserve brand voice rather than produce a literal word-for-word conversion. Once translated, listings push to the Apple App Store and Google Play Store from one dashboard, either simultaneously or independently per platform, so a metadata update doesn't mean logging into two separate consoles.
What AppDrift translates is text: titles, descriptions, and keywords. Screenshots stay untouched by the translation engine — a separate tool offers 50+ templates for building iPhone, iPad, and Android screenshots, but it doesn't translate the graphic content inside them, so a screenshot with English text in it stays in English unless rebuilt separately for each locale.
The site states a 128% average download lift after localization in non-English markets, but doesn't publish how that figure was measured, across how many apps, or over what time period — worth treating as a general directional claim rather than a guarantee for any specific app. Access starts on a free tier covering one app, with paid tiers unlocking additional apps and further ASO features beyond that starting point.
No — translation covers text fields like titles, descriptions, and keywords, while a separate screenshot generator with 50+ templates helps build new screenshots, but it doesn't translate graphic elements already inside an image.
Yes — the site states both platforms can be managed from one dashboard, with updates pushed simultaneously or to each platform independently, depending on whether a change applies everywhere or to just one store.
The site doesn't publish the methodology, sample size, or measurement period behind that figure, so it's worth treating as a general directional claim about localization's value rather than a specific outcome any individual app should expect.
The site names GPT-4 and Gemini as the models behind translation, described as context-aware and character-limit compliant rather than a raw machine-translation pass.
No — the free tier covers a single app, so managing metadata across multiple apps requires a paid tier that unlocks additional app slots and further ASO features.
