Gemini 3.1 Flash TTS is Google’s new text-to-speech fashion, now to be had in preview by the use of the Gemini API, Google AI Studio, and Vertex AI.
The issue:
TTS APIs have all the time handled voice as a static output.
You select a voice, set a pace, and the fashion delivers a flat learn.
Getting expressiveness supposed engineering workarounds or accepting robot supply.
The answer:
Gemini 3.1 Flash TTS introduces audio tags herbal language instructions embedded without delay within the textual content enter to regulate tone, pacing, accessory, and expression mid-sentence.
You’ll be able to outline scene context, forged a couple of audio system with distinctive voice profiles, and export the whole configuration as API code for constant reuse throughout tasks.
What sticks out:
🎙 Inline audio tags imply you’ll shift tone, pacing, and supply mid-sentence with out re-prompting
🗣 Local multi-speaker discussion method you’ll forged and direct a couple of characters in one API name
🌍 70+ language beef up with per-locale accessory regulate method you’ll localise expressive speech and not using a separate pipeline
📤 Exportable voice config method your characters and supply taste keep constant throughout each and every projec
🔒 SynthID watermarking method each and every output is attributable as AI-generated out of the field
Who it is for:
builders and product groups development voice brokers, AI dubbing equipment, interactive storytelling apps, and multilingual content material platforms that want expressive, controllable speech at scale.
