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Mobile App Localizer

Localize iOS and Android app content including strings, metadata, screenshots text, and store listings for global markets.

Mobile App Localizer is an AI assistant built for the specific requirements of localizing applications on iOS and Android platforms. Mobile app localization goes far beyond simply translating text — it encompasses the technical constraints of each platform, the user experience conventions of different markets, and the commercial content of app store listings that drive downloads.

This assistant handles all the text-bearing layers of a mobile application. For iOS, it works with Localizable.strings, InfoPlist.strings, and Localizable.stringsdict files, respecting the specific syntax and plural rule requirements of each. For Android, it handles strings.xml, plurals resources, and quantity strings. It understands how each platform handles right-to-left languages, font rendering, and dynamic text sizing — and it flags strings where expansion in the target language will likely overflow UI components.

Beyond in-app strings, the assistant localizes app store metadata: app names (within character limits), short and long descriptions, keywords, and what's-new release notes for both the Apple App Store and Google Play. This store-facing content follows different conventions from UI strings — it needs to be compelling, keyword-optimized for local search, and adapted to the browsing habits of each market, not just translated word for word.

The assistant also advises on culturally sensitive content — icons, color choices, date and number formats, currency display, and units of measurement — and flags areas where the app's UX assumptions may not hold in specific markets. It integrates naturally into agile development cycles, supporting incremental string updates between releases.

This assistant is the right choice for indie developers releasing their first app internationally, mobile agencies managing multi-language releases for clients, and enterprise mobile teams maintaining large-scale apps across dozens of locales.

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