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29:Tc6f,# Gemini 3.8 Flash TTS â€” Text-to-Speech API

## What is Gemini 3.8 Flash TTS?

Gemini 3.8 Flash TTS is Google's flagship creative text-to-speech model, built to *perform* a script rather than just read it. Instead of picking a fixed preset, you supply a transcript, choose a studio voice, and direct the delivery in plain English â€” pacing, emotion, accent, and dialect all shift line by line. It is designed for developers and creators building audiobooks, podcasts, games, e-learning, and voice agents who need speech that sounds acted, not announced.

The model treats your `text` as a verbatim transcript and keeps all delivery control in a separate `style` field, so your prompt stays clean and predictable. It returns studio-quality WAV audio and supports automatic language detection across 130+ languages.

## Key Features

- **Line-by-line style direction**: steer tone, pacing, emotion, and accent with a natural-language `style` prompt.
- **Inline vocal cues**: drop `<laughs>`, `<sigh>`, `<gasp>`, or `<short pause>` exactly where they belong in the transcript.
- **Native two-speaker dialogue**: stage a two-person scene from a single call with distinct voices and natural turn-taking.
- **30 studio voices**: expressive named voices such as Kore, Puck, Fenrir, Aoede, and Enceladus.
- **Multilingual**: 130+ languages with authentic regional accents, auto-detected from the transcript.
- **Expressiveness control**: a `temperature` dial from steady narration to animated performance.

## Best Use Cases

Reach for Gemini 3.8 Flash TTS when delivery matters: character voices and emotional beats for games and immersive audiobooks, two-host podcasts and dramatic scenes, warm multilingual narration for explainers and localization, and natural-sounding voice agents. In testing, a single-voice sports call swung from a hushed build-up to a euphoric eruption, a two-speaker lab scene traded four turns in distinct voices, a Mexican-Spanish market read nailed the accent from the transcript alone, and the same engine dropped to an intimate whisper purely through the style field.

## Prompt Tips and Output Quality

Keep stage directions out of `text` â€” it is spoken verbatim â€” and use the `style` field for emotion and the inline `<angle-bracket>` cues for sounds. Set `voice_2` to a different voice for dialogue and prefix each line with the speaker name. Raise `temperature` to roughly 1.0â€“1.4 for expressive scenes; keep it near 0.3 for steady reads. Outputs are clean 24 kHz mono WAV.

## FAQs

**Can I clone my own voice?** The Segmind API exposes 30 prebuilt studio voices rather than cloning; pick the closest timbre.

**How many speakers can it do?** Up to two per call â€” set both `voice_1` and `voice_2`.

**What languages are supported?** Over 130, detected automatically from the transcript; keep inline cues in English.

**How do I add laughs or pauses?** Write inline cues like `<laughs>` or `<short pause>` directly in the text.

**What audio format does it return?** A standard WAV file (24 kHz, mono).

**How is it different from Gemini 3.1 Flash TTS?** 3.8 improves expressive acting, long-form stability, and two-speaker screenplay control.
2a:Tc69,# How to Use Gemini 3.8 Flash TTS

Gemini 3.8 Flash TTS turns a written script into a performed voice track. The workflow is three clean parts: put *what is said* in `text`, pick *who says it* with `voice_1` (and `voice_2` for dialogue), and describe *how it is said* in `style`. Because `text` is read verbatim, never write directions like "say angrily" in it â€” put that in `style`, and use inline `<angle-bracket>` cues only for sounds.

## Recommended Settings

- **text**: your transcript, with inline cues such as `<laughs>`, `<sigh>`, `<gasp>`, `<short pause>` placed where they occur.
- **voice_1**: one of 30 studio voices (Kore, Puck, Fenrir, Aoede, Enceladus, Callirrhoe...). Match the timbre to your character.
- **style**: plain-English delivery direction applied to every line, e.g. `whispered urgently` or `warm and inviting`.
- **voice_2**: set only for two-speaker scenes; choose a different voice and prefix each line with the speaker name.
- **temperature**: 0.2â€“0.5 for steady narration; 0.8â€“1.4 for emotional, animated delivery.

## Example voices to try

Each example below ran end to end at the settings shown, and the delivery direction carried over cleanly â€” emotion, accent, and whisper all came from the `style` field, not from the transcript.

- **Expressive emotion arc (default).** Prompt: "It's fifteen seconds from the final whistle, and it's still Rovers one, City one. <short pause> Mateo Rinaldi picks it up on the halfway line... he's past one man, past two â€” can he finish it from here? <gasp> He shoots... and it's IN! Rinaldi wins it at the death, and the whole Olimpico is on its feet!" Voice Fenrir at temperature 1.1 swung from a hushed build-up to a euphoric goal call, with the pause and gasp landing inline. Tip: keep the emotional turn in `style` and the transcript clean.
- **Multilingual accent.** Prompt: "Â¡PÃ¡sele, pÃ¡sele! Estos son los mejores tacos al pastor de todo el mercado, se lo prometo. <short pause> Con su piÃ±a, su cilantro, su salsa verde... treinta pesos los tres. Â¿CÃ³mo los quiere, con todo?" Voice Callirrhoe delivered warm Mexican Spanish from the transcript alone â€” no language flag needed. Tip: write in the target language and keep inline cues in English.
- **Intimate whisper.** Prompt: "The seal is intact. <short pause> Three thousand years, and no one has breathed this air. I'm easing the lamp through the gap now... <gasp> gold. Everywhere. The whole chamber is untouched." Voice Enceladus at temperature 0.9 produced a breathy, suspenseful whisper. Tip: lower temperature for controlled delivery and describe the voice quality in `style`.

### Two-speaker dialogue

For a two-person scene, set `voice_1` and `voice_2` to different voices and start every line with that speaker's name. Example: "Aoede: Core temperature just hit forty-two degrees and it's still climbing. Are you seeing this? / Puck: Forty-two? <gasp> That's nearly double what the model predicted." Both voices stayed distinct with natural turn-taking in a single call.

Further scenes the model is built for: try `"cheerful customer-service agent"`, `"slow, calm bedtime story"`, or `"breaking-news anchor, urgent"`.
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2d:T4bf,{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.segmind.com/models/gemini-3.8-flash-tts#faq","mainEntity":[{"@type":"Question","name":"Can I clone my own voice?","acceptedAnswer":{"@type":"Answer","text":"The Segmind API exposes 30 prebuilt studio voices rather than cloning; pick the closest timbre."}},{"@type":"Question","name":"How many speakers can it do?","acceptedAnswer":{"@type":"Answer","text":"Up to two per call â€” set both voice_1 and voice_2."}},{"@type":"Question","name":"What languages are supported?","acceptedAnswer":{"@type":"Answer","text":"Over 130, detected automatically from the transcript; keep inline cues in English."}},{"@type":"Question","name":"How do I add laughs or pauses?","acceptedAnswer":{"@type":"Answer","text":"Write inline cues like \u003claughs> or \u003cshort pause> directly in the text."}},{"@type":"Question","name":"What audio format does it return?","acceptedAnswer":{"@type":"Answer","text":"A standard WAV file (24 kHz, mono)."}},{"@type":"Question","name":"How is it different from Gemini 3.1 Flash TTS?","acceptedAnswer":{"@type":"Answer","text":"3.8 improves expressive acting, long-form stability, and two-speaker screenplay control."}}]}2f:Tc6f,# Gemini 3.8 Flash TTS â€” Text-to-Speech API

## What is Gemini 3.8 Flash TTS?

Gemini 3.8 Flash TTS is Google's flagship creative text-to-speech model, built to *perform* a script rather than just read it. Instead of picking a fixed preset, you supply a transcript, choose a studio voice, and direct the delivery in plain English â€” pacing, emotion, accent, and dialect all shift line by line. It is designed for developers and creators building audiobooks, podcasts, games, e-learning, and voice agents who need speech that sounds acted, not announced.

The model treats your `text` as a verbatim transcript and keeps all delivery control in a separate `style` field, so your prompt stays clean and predictable. It returns studio-quality WAV audio and supports automatic language detection across 130+ languages.

## Key Features

- **Line-by-line style direction**: steer tone, pacing, emotion, and accent with a natural-language `style` prompt.
- **Inline vocal cues**: drop `<laughs>`, `<sigh>`, `<gasp>`, or `<short pause>` exactly where they belong in the transcript.
- **Native two-speaker dialogue**: stage a two-person scene from a single call with distinct voices and natural turn-taking.
- **30 studio voices**: expressive named voices such as Kore, Puck, Fenrir, Aoede, and Enceladus.
- **Multilingual**: 130+ languages with authentic regional accents, auto-detected from the transcript.
- **Expressiveness control**: a `temperature` dial from steady narration to animated performance.

## Best Use Cases

Reach for Gemini 3.8 Flash TTS when delivery matters: character voices and emotional beats for games and immersive audiobooks, two-host podcasts and dramatic scenes, warm multilingual narration for explainers and localization, and natural-sounding voice agents. In testing, a single-voice sports call swung from a hushed build-up to a euphoric eruption, a two-speaker lab scene traded four turns in distinct voices, a Mexican-Spanish market read nailed the accent from the transcript alone, and the same engine dropped to an intimate whisper purely through the style field.

## Prompt Tips and Output Quality

Keep stage directions out of `text` â€” it is spoken verbatim â€” and use the `style` field for emotion and the inline `<angle-bracket>` cues for sounds. Set `voice_2` to a different voice for dialogue and prefix each line with the speaker name. Raise `temperature` to roughly 1.0â€“1.4 for expressive scenes; keep it near 0.3 for steady reads. Outputs are clean 24 kHz mono WAV.

## FAQs

**Can I clone my own voice?** The Segmind API exposes 30 prebuilt studio voices rather than cloning; pick the closest timbre.

**How many speakers can it do?** Up to two per call â€” set both `voice_1` and `voice_2`.

**What languages are supported?** Over 130, detected automatically from the transcript; keep inline cues in English.

**How do I add laughs or pauses?** Write inline cues like `<laughs>` or `<short pause>` directly in the text.

**What audio format does it return?** A standard WAV file (24 kHz, mono).

**How is it different from Gemini 3.1 Flash TTS?** 3.8 improves expressive acting, long-form stability, and two-speaker screenplay control.
30:Tc69,# How to Use Gemini 3.8 Flash TTS

Gemini 3.8 Flash TTS turns a written script into a performed voice track. The workflow is three clean parts: put *what is said* in `text`, pick *who says it* with `voice_1` (and `voice_2` for dialogue), and describe *how it is said* in `style`. Because `text` is read verbatim, never write directions like "say angrily" in it â€” put that in `style`, and use inline `<angle-bracket>` cues only for sounds.

## Recommended Settings

- **text**: your transcript, with inline cues such as `<laughs>`, `<sigh>`, `<gasp>`, `<short pause>` placed where they occur.
- **voice_1**: one of 30 studio voices (Kore, Puck, Fenrir, Aoede, Enceladus, Callirrhoe...). Match the timbre to your character.
- **style**: plain-English delivery direction applied to every line, e.g. `whispered urgently` or `warm and inviting`.
- **voice_2**: set only for two-speaker scenes; choose a different voice and prefix each line with the speaker name.
- **temperature**: 0.2â€“0.5 for steady narration; 0.8â€“1.4 for emotional, animated delivery.

## Example voices to try

Each example below ran end to end at the settings shown, and the delivery direction carried over cleanly â€” emotion, accent, and whisper all came from the `style` field, not from the transcript.

- **Expressive emotion arc (default).** Prompt: "It's fifteen seconds from the final whistle, and it's still Rovers one, City one. <short pause> Mateo Rinaldi picks it up on the halfway line... he's past one man, past two â€” can he finish it from here? <gasp> He shoots... and it's IN! Rinaldi wins it at the death, and the whole Olimpico is on its feet!" Voice Fenrir at temperature 1.1 swung from a hushed build-up to a euphoric goal call, with the pause and gasp landing inline. Tip: keep the emotional turn in `style` and the transcript clean.
- **Multilingual accent.** Prompt: "Â¡PÃ¡sele, pÃ¡sele! Estos son los mejores tacos al pastor de todo el mercado, se lo prometo. <short pause> Con su piÃ±a, su cilantro, su salsa verde... treinta pesos los tres. Â¿CÃ³mo los quiere, con todo?" Voice Callirrhoe delivered warm Mexican Spanish from the transcript alone â€” no language flag needed. Tip: write in the target language and keep inline cues in English.
- **Intimate whisper.** Prompt: "The seal is intact. <short pause> Three thousand years, and no one has breathed this air. I'm easing the lamp through the gap now... <gasp> gold. Everywhere. The whole chamber is untouched." Voice Enceladus at temperature 0.9 produced a breathy, suspenseful whisper. Tip: lower temperature for controlled delivery and describe the voice quality in `style`.

### Two-speaker dialogue

For a two-person scene, set `voice_1` and `voice_2` to different voices and start every line with that speaker's name. Example: "Aoede: Core temperature just hit forty-two degrees and it's still climbing. Are you seeing this? / Puck: Forty-two? <gasp> That's nearly double what the model predicted." Both voices stayed distinct with natural turn-taking in a single call.

Further scenes the model is built for: try `"cheerful customer-service agent"`, `"slow, calm bedtime story"`, or `"breaking-news anchor, urgent"`.
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