Google DeepMind Releases Gemini 3.1 Flash TTS Featuring Enhanced Stylistic Control and Multi-Language Support

The Gemini 3.1 Flash TTS model represents a significant evolution in AI speech synthesis, emphasizing high-quality output and granular control over voice dynamics. Unlike its predecessors, this model allows developers to use natural language commands and fine-grained audio tags to adjust the style and pace of speech. This capability enables the generation of more human-like audio that can convey specific emotions or professional tones suited for diverse use cases. The model is being integrated across Google AI Studio, Vertex AI, and Google Vids, making it accessible for enterprise workflows. With support for over 70 languages, it serves as a versatile tool for global content creation and multi-language accessibility features. Engineers can now implement highly localized and expressive narration without the need for extensive manual voice recording. To address safety and authenticity concerns, all audio generated by Gemini 3.1 Flash TTS includes SynthID watermarking. This digital watermark allows the audio to be identified as AI-generated, which is a critical measure for preventing the spread of misinformation. Developers and organizations should consider the presence of these watermarks when integrating the model into public-facing applications or media production pipelines.