Google Gemini 3.1 Flash TTS

Google Gemini 3.1 Flash TTS

WebsiteContact for PricingText to SpeechAI Voice Assistants
Google Gemini 3.1 Flash TTS is an advanced text-to-speech AI model that delivers high-fidelity, expressive speech generation with granular control through natural language audio tags across 70+ languages.
https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-tts/?utm_source=tw&utm_medium=social&utm_campaign=og&utm_content=&utm_term=&ref=producthunt
Google Gemini 3.1 Flash TTS

Product Information

Updated:Apr 17, 2026

Google Gemini 3.1 Flash TTS Monthly Traffic Trends

Google Gemini 3.1 Flash TTS received 8.5m visits last month, demonstrating a Slight Decline of -12.1%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history traffic

What is Google Gemini 3.1 Flash TTS

Launched on April 15, 2026, Google Gemini 3.1 Flash TTS represents a significant advancement in text-to-speech technology, offering developers, enterprises, and everyday users unprecedented control over AI-generated speech. Built on the Gemini 3 Pro foundation, this model achieves an impressive Elo score of 1,211 on the Artificial Analysis TTS leaderboard, ranking second overall and establishing itself as a leader in quality-to-price ratio. The model is available in preview through multiple channels: the Gemini API and Google AI Studio for developers, Vertex AI for enterprises, and Google Vids for Workspace users. All audio generated by the model includes SynthID watermarking, an imperceptible digital signature that enables reliable detection of AI-generated content to help combat misinformation.

Key Features of Google Gemini 3.1 Flash TTS

Google Gemini 3.1 Flash TTS is an advanced text-to-speech AI model launched on April 15, 2026, that delivers highly natural and expressive speech generation with unprecedented control. It features over 200 audio tags that allow users to direct vocal style, pacing, delivery, accent, and tone through natural language commands embedded in text. The model supports 70+ languages, includes native multi-speaker dialogue capabilities, and achieved an impressive Elo score of 1,211 on the Artificial Analysis TTS leaderboard. All generated audio is watermarked with SynthID for content authenticity verification. Available through Google AI Studio, Vertex AI, and Google Vids, it's designed for developers, enterprises, and everyday users to build next-generation AI speech applications.
Audio Tags for Granular Control: Over 200 natural language audio tags that allow precise control of vocal style, pacing, delivery, accent, and tone by embedding commands directly into text input, enabling instruction-based workflow rather than black-box generation.
Native Multi-Speaker Dialogue: Supports multiple speakers natively with the ability to maintain natural conversational flow and keep characters 'in-character' across multiple turns, ideal for podcasts, dramatic scripts, and collaborative assistant interfaces.
Extensive Language Support: Delivers high-fidelity speech with advanced control across 70+ languages including Hindi, Japanese, and German, enabling localized and expressive speech experiences for global audiences.
SynthID Watermarking: All audio generated includes an imperceptible SynthID watermark woven directly into the output, enabling reliable detection of AI-generated content to help prevent misinformation and misuse.
Scene Direction and World-Building: Allows developers to set environmental context and provide specific dialogue instructions, helping characters maintain consistency and react naturally based on narrative needs and scene context.
High-Quality Performance: Achieved an Elo score of 1,211 on the Artificial Analysis TTS leaderboard, ranking second overall and positioned in the 'most attractive quadrant' for its ideal blend of high-quality speech generation and low cost.

Use Cases of Google Gemini 3.1 Flash TTS

Audiobook Production: Create engaging audiobooks with multiple character voices, dynamic pacing, and expressive delivery that adapts to narrative context, allowing publishers to produce high-quality audio content at scale.
Enterprise Customer Service: Build sophisticated banking systems and customer experience applications with natural, reliable voice interactions that can handle complex dialogues while maintaining professional tone and clarity across multiple languages.
Gaming and Interactive Entertainment: Develop accessible gaming soundtracks and interactive experiences with dynamic character voices that respond naturally to gameplay, maintaining character consistency and emotional expression throughout.
Video Content Creation: Generate professional voiceovers for Google Vids and other video platforms with precise control over delivery style, enabling content creators to produce engaging videos without recording studio equipment.
Educational Applications: Create immersive learning experiences with expressive narration that can adapt tone and pacing for different educational contexts, making content more engaging and accessible to diverse learners globally.
Mobile App Enhancement: Transform standard applications like weather apps into engaging experiences with expressive speech that adds personality and improves user engagement through natural, context-aware voice interactions.

Pros

Exceptional controllability with 200+ audio tags allowing precise direction of vocal style, pacing, and delivery through natural language
High-quality output with Elo score of 1,211, ranking among top TTS models with natural and expressive speech generation
Comprehensive language support across 70+ languages with native multi-speaker dialogue capabilities
Built-in SynthID watermarking for content authenticity and misinformation prevention

Cons

Significantly more expensive (4x) than Google's previous best TTS model, impacting cost-efficiency for high-volume use cases
Currently only in preview/beta status, which may mean limited availability and potential instability
Requires detailed prompting with scene direction and audio profiles for optimal results, which may have a learning curve
Some users report access issues with age verification requirements in Google AI Studio blocking usage

How to Use Google Gemini 3.1 Flash TTS

1: Access the model through Google AI Studio (for rapid prototyping), Vertex AI (for enterprises), or the Gemini API using the model ID 'gemini-3.1-flash-tts-preview'
2: Choose a baseline voice from the 30 available prebuilt voices (e.g., Leda, Kore, Umbriel, Gacrux)
3: Select your target language from over 70 supported languages and regional variants (including Hindi, Japanese, German, and English variants)
4: Create your text input using structured prompt-style format that defines speaker personality, environment, emotional arc, and line-by-line delivery (not just raw text)
5: Add scene direction by defining the environment and providing specific dialogue instructions to help characters remain 'in-character'
6: Use audio tags to control vocal style, delivery, and pace. Embed natural language commands like [laughs], [whispers], or other 200+ available audio tags directly into your text
7: Apply speaker-level specificity by creating unique Audio Profiles with Director's Notes to adjust pace, tone, and accent for each character
8: Use inline tags to change expression mid-sentence, allowing speakers to pivot from high-level settings dynamically
9: For multi-speaker dialogue, define multiple speakers with distinct voices and characteristics to create natural conversational flow
10: Test and refine your audio output in the Google AI Studio Playground using the configurable controls
11: Once satisfied with the performance, export the exact parameters as Gemini API code to ensure consistent, recognizable voices across projects
12: Integrate into your application using the Gemini API with response_modalities set to ['AUDIO'] and configure speech_config with your chosen voice settings

Google Gemini 3.1 Flash TTS FAQs

Gemini 3.1 Flash TTS is Google's latest text-to-speech AI model released on April 15, 2026. It converts text into natural, expressive speech with improved controllability and quality. The model supports over 70 languages, features native multi-speaker dialogue, and allows precise control over vocal style, pacing, and delivery through audio tags embedded in text.

Analytics of Google Gemini 3.1 Flash TTS Website

Google Gemini 3.1 Flash TTS Traffic & Rankings
8.5M
Monthly Visits
#8357
Global Rank
#353
Category Rank
Traffic Trends: Nov 2024-Jun 2025
Google Gemini 3.1 Flash TTS User Insights
00:00:53
Avg. Visit Duration
1.93
Pages Per Visit
55.03%
User Bounce Rate
Top Regions of Google Gemini 3.1 Flash TTS
  1. US: 26.94%

  2. IN: 8.76%

  3. GB: 5.14%

  4. JP: 4.24%

  5. DE: 3.01%

  6. Others: 51.91%

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