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AutoLocalise lets you instantly localize React, React Native, Expo, and Next.js apps in 100+ languages—no translation files, no setup hassle. It's fast, lightweight, and built for developers who want to go global in minutes.
www.autolocalise.com (powered by turbo0)
www.autolocalise.com (powered by turbo0)
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AutoLocalise is a real-time localization service that automatically detects and translates UI text in React, Next.js, React Native, and Expo applications into 100+ languages via AI, eliminating the need for manual translation file management.
AutoLocalise is an AI-powered localization platform for modern web and mobile apps. It takes your application's user-facing strings as input and produces real-time translations in over 100 languages, all without requiring you to manage translation files or redeploy your app. The platform runs on React, Next.js, React Native, Expo, and Python frameworks like Django, Flask, and FastAPI. It is developed by the AutoLocalise team.
AutoLocalise offers a freemium model:
Character counting uses the formula: source language characters × number of target languages = total characters counted. For example, 5,000 source characters translated to 2 languages equals 10,000 characters counted for billing purposes. Details refer to documentation.
Integration typically takes 5–10 minutes. Get the API key, install the package, add the provider to your app, and start using the translation hook. No complex configuration or file management required.
AutoLocalise supports 100+ languages including English, Spanish, French, German, Chinese, Japanese, Korean, Arabic, and many more. AI-powered translations provide high-quality results for all supported languages.
AutoLocalise caches translations locally, so previously translated content works offline. New content requires an internet connection for initial translation, but is then cached for offline use.
All data is encrypted in transit and at rest. AutoLocalise does not store your source code, only the text strings you define for translation. All projects are private—only you and your team can see them.