Google Unveils Gemini 3.1 Flash TTS for Highly Expressive, Multilingual AI Speech
Google announced the launch of Gemini 3.1 Flash TTS on April 15, 2026, introducing a next-generation text-to-speech model designed to deliver significantly more natural and high-fidelity AI audio. The model is engineered to provide developers and enterprises with unprecedented control over synthetic speech, moving beyond static outputs to more expressive, human-like delivery.

A core innovation of Gemini 3.1 Flash TTS is the introduction of granular audio tags. With more than 200 audio tags available, users can steer the AI’s delivery using natural language commands to adjust pacing, vocal style, and overall expression. This capability allows for the creation of highly contextual audio, making it suitable for a wide array of applications, including professional audiobooks, banking systems, and accessible gaming soundtracks.
To support a global audience, the model offers high-fidelity speech across more than 70 languages and regional variants. Users can begin by selecting one of 30 prebuilt baseline voices and then apply specific stylization instructions. Whether a project requires a professional narrator’s tone, a casual conversational vibe, or a specific regional accent, the model can be adjusted to meet those needs.
The technology is currently available in public preview through Vertex AI and Google AI Studio, and is too integrated into Google Vids. For those building scalable applications, Google AI Studio allows developers to fine-tune voices and export settings to ensure consistency across their platforms. The model is specifically optimized for low-latency speech generation, ensuring a responsive user experience.
Addressing the ethical implications of generative AI, Google has integrated SynthID watermarking into the audio output. This technology weaves a watermark directly into the audio, allowing AI-generated content to be identified and helping to prevent the spread of misinformation.
The rollout of Gemini 3.1 Flash TTS signals a broader trend in the AI sector toward steerable, low-latency tools that can adapt to complex human contexts. By combining deep linguistic support with precise emotional control, Google is further bridging the gap between synthetic audio and authentic human speech.