5 ways to use Gemini text-to-speech (TTS) in your apps with Firebase AI Logic

Gemini text-to-speech models, available through Firebase AI Logic, let mobile and web apps generate and stream natural, customizable audio directly to client devices, reducing latency and avoiding server-side audio pipelines. Suggested applications include interactive language-learning conversations, hands-free reading of recipes or guides, accessibility features and spoken summaries, expressive storytelling, and multi-speaker podcasts or dialogue simulations. Built on a large language model, Gemini TTS can interpret both content and delivery, with controls for voice identity, environment, mood, accent, pacing, speaking style, and language, including more than 30 multilingual voices and dynamic language switching. The service produces continuous PCM audio streams for immediate playback and is supported across Swift, Kotlin, Java, JavaScript, Dart, and Unity, enabling developers to add context-aware voice features through Firebase AI Logic.

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