Google Unveils Gemini 3.1 Flash TTS with Advanced Speech AI and Multilingual Support
New Google speech model delivers natural voice generation with customizable tone, multi speaker capability and support for over seventy languages, targeting developers and enterprises building next generation AI applications
Google has expanded its artificial intelligence ecosystem with the launch of Gemini 3.1 Flash TTS, a new speech generation model designed to convert text into highly natural and expressive audio. The release highlights the company’s growing focus on voice driven AI tools for developers and enterprise users.
Built on the foundation of Gemini 3 Pro, the new system aims to deliver better control, scalability and improved speech quality. It supports large input and output limits, allowing users to process up to 16K tokens of text and generate audio outputs of up to 32K tokens, making it suitable for long form and complex applications.
One of the standout features of the model is its ability to produce more lifelike and expressive voices. Users can adjust tone, speed and delivery using audio tags, enabling fine tuned control over how the generated speech sounds. The system also supports multiple speakers, allowing developers to create conversations with distinct voices in a single output.
Google has also introduced advanced customization features such as scene direction and speaker level controls. These tools allow users to modify accents, pacing and speaking styles, and even vary expressions within a single sentence. This level of flexibility is expected to benefit applications such as audiobooks, virtual assistants and interactive media.
Alongside this, the company has rolled out a Flash Live variant of the model, which supports multimodal inputs including audio, images and video. This enables more dynamic and interactive use cases, where speech generation can respond to multiple forms of input in real time.
Developers can access the model through Google AI Studio, which offers detailed control tools for managing speech output. Settings can also be exported as code using the Gemini API, making it easier to integrate into applications. For enterprise users, the model is available through Vertex AI, providing scalable deployment options.
Security and transparency have also been addressed with the inclusion of SynthID watermarking technology. This feature helps identify AI generated audio, adding a layer of accountability as synthetic media becomes more widespread. The capability is currently being rolled out in preview mode.
With support for more than 70 languages, Gemini 3.1 Flash TTS is designed for global use, enabling developers to build applications that cater to diverse audiences. The launch reflects Google’s ongoing push to make AI driven communication tools more natural, flexible and widely accessible.
