Gemini 3.1 Flash TTS

What is Gemini 3.1 Flash TTS?

Gemini 3.1 Flash TTS is Google’s latest text-to-speech (TTS) audio model designed to produce more natural and expressive AI speech. Its core purpose is to help developers and users generate speech from text while having finer control over how the speech is delivered.

The model introduces granular audio tags that can be embedded using natural language commands in the text input. These tags are intended to steer vocal style, pacing, and delivery, supporting more precise direction for expressive audio generation.

Key Features

• Improved speech quality: Designed to sound more natural and expressive than prior versions of the model.
• Granular “audio tags” for control: Inline audio tags let you adjust vocal style, pace, and delivery with more precise, directed output.
• Natural language steering via tags: The audio tags accept natural language commands in the text input so speech characteristics can be directed directly from the prompt.
• Native multi-speaker dialogue: Supports dialogue where multiple speakers can be specified within the audio generation workflow.
• Support for 70+ languages: Built for global use cases where localized, language-specific speech output is needed.
• Watermarking with SynthID: Audio is watermarked with SynthID to help identify AI-generated audio and reduce misinformation risks.

How to Use Gemini 3.1 Flash TTS

• Try it in an AI Studio environment: Start with the Google AI Studio Playground to generate high-fidelity speech and experiment with the available controls and tags.
• Use developer interfaces where available: Developers can use the Gemini API and Google AI Studio (preview) to generate speech and incorporate the model into applications.
• Export consistent voice parameters: After dialing in the desired performance using the controls (including the audio tags), export the configuration as Gemini API code so the same parameters can be reused across projects.
• Use enterprise or Workspace options during rollout: The article states the model is rolling out for enterprises via Vertex AI (preview) and for Workspace users via Google Vids.

Use Cases

• Character-driven dialogue for multimedia: Use scene direction and speaker-level specificity to keep characters “in-character” across turns and adjust expression mid-sentence.
• Localized speech for multilingual products: Generate speech in 70+ languages with controlled pacing and accent characteristics to support localization workflows.
• Script-to-audio production with delivery control: Add audio tags to control the delivery (style and speed) directly from the text input, helping align narration with creative intent.
• Multi-speaker audio for interactive experiences: Create dialogue that switches speakers while preserving distinct vocal settings, useful for interactive demos, training content, or narrative experiences.
• Reproducible voice direction for teams: Use exported Gemini API code/configuration so teams can apply the same speech settings consistently across different projects.

FAQ

• Where can I try Gemini 3.1 Flash TTS? The article says you can test it in Google AI Studio, and that it’s rolling out for developers via the Gemini API. It also mentions Vertex AI (enterprise preview) and Google Vids (Workspace users).

• What are audio tags? Audio tags are embedded commands that let you control speech attributes such as vocal style, pace, and delivery. They’re used in the text input to steer the generated audio.

• How many languages does it support? The article states support for 70+ languages.

• Does the generated audio include a watermark? Yes. The article states that all audio is watermarked with SynthID to identify AI-generated audio.

• Is the model available everywhere immediately? The page describes rollout as preview for developers via Gemini API/AI Studio, and for enterprises via Vertex AI. It also notes Workspace access via Google Vids, indicating phased availability.

Alternatives

• Other text-to-speech models from the same ecosystem: If you need different latency, style control, or integration patterns, you can consider other TTS options available within developer and studio environments.
• General-purpose TTS solutions that offer speech controls: Look for TTS platforms that support prompt-based or parameter-based control of voice attributes (style, speed, delivery) without relying on Gemini-specific audio tags.
• Speech generation workflows that focus on watermarking and attribution: If attribution is a high priority, compare solutions that offer audio watermarking or provenance features and align them with your compliance and safety needs.
• Manual studio voice production or hybrid workflows: For teams that need maximum control over performance and production assets, a hybrid approach (human recording + limited AI assistance) can reduce dependency on automated expressiveness controls.