Episode 30 of Mobile Development with Fexingo explores on-device machine translation in iOS and Android apps. Lucas and Luna discuss why developers are moving away from cloud-based translation APIs to small, efficient language models running directly on the phone. They examine Apple's on-device translation framework, Google's ML Kit updates, and the trade-offs around accuracy, privacy, and offline capability. The episode covers real-world examples like real-time chat translation in messaging apps and localized content delivery without network calls. They also touch on the developer experience: model size optimization, quantization, and supporting 50+ languages without bloating the app binary. A practical look at how on-device NLP is reshaping app globalization in mid-2026.

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