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Gemini 3.1 Flash Text-to-Speech Lands in Google AI Studio

Google AI Studio has added text-to-speech capabilities to Gemini 3.1 Flash. The TTS feature uses a tag-based syntax (e.g., [tags]) embedded in dialogue text to control vocal delivery parameters including speech pace and accent. Developers can iterate on voice output in the Composer view interface before exporting production-ready code for application integration.

Google AI StudioWednesday, April 22, 2026Original source
#AIStudio#Gemini#TextToSpeech#APIs#DeveloperTools

Gemini 3.1 Flash Text-to-Speech Lands in Google AI Studio

Summary

Google AI Studio has integrated text-to-speech capabilities directly into Gemini 3.1 Flash, enabling developers to control vocal delivery parameters (pace, accent) through a tag-based syntax embedded in dialogue text, with iteration via Composer View and direct code export for production integration.

Integration Strategy

When to Use This?

  • Conversational AI interfaces requiring dynamic voice modulation based on dialogue context
  • Accessibility applications needing varied speech parameters for different content types
  • Multilingual applications where accent control enables culturally appropriate voice delivery
  • Interactive storytelling or gaming where pace and delivery affect narrative immersion
  • Educational platforms where lecture pacing varies by content complexity

How to Integrate?

Workflow:

  1. Open Google AI Studio and navigate to the Composer View
  2. Input dialogue text with [tags] embedded before relevant segments
  3. Preview audio output using the visual iteration tools
  4. Adjust tags based on playback feedback
  5. Export production-ready code via the built-in export function

Inferred export formats (not confirmed):

  • Python SDK integration
  • JavaScript/TypeScript SDK for web deployment
  • REST API configuration snippets
  • Potential Vertex AI compatibility for enterprise deployments

Compatibility

Expected compatibility (based on AI Studio ecosystem patterns):

  • Python 3.8+
  • Node.js 18+
  • Gemini API client libraries (existing SDKs likely extended)
  • Google Cloud projects with AI Studio enabled

CUDA/Backend requirements: Managed entirely by Google's infrastructureā€”developers access via API without GPU provisioning concerns.

Source: @GoogleDeepMind Reference: Google AI Studio Announcement Video (embedded in original post) Published: December 2025 DevRadar Analysis Date: 2026-04-22