---
title: Eleven V3 — Expressive Voice Cloning | ModelsLab
description: Generate lifelike speech with Eleven V3 Text To Speech API. Control emotions, tags, and dialogue in 70+ languages. Try expressive voice cloning now.
url: https://modelslab.com/eleven-v3-text-to-speech
canonical: https://modelslab.com/eleven-v3-text-to-speech
type: website
component: Seo/ModelPage
generated_at: 2026-05-20T05:44:02.222867Z
---

Available now on ModelsLab · Voice & Audio

Eleven V3 Text To Speech
Expressive Voices, Total Control
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[Try Eleven V3 Text To Speech](/models/elevenlabs/eleven_v3) [API Documentation](https://docs.modelslab.com)

Sample output

Master Expressive Speech Generation
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Audio Tags

### Direct Emotion Control

Use tags like \[whispers\] or \[laughs\] in Eleven V3 Text To Speech for precise delivery control.

Dialogue Mode

### Natural Multi-Speaker Flow

Generate conversations with interruptions and tone shifts using Eleven V3 Text To Speech API.

70+ Languages

### Global Voice Coverage

Support 70+ languages with contextual expressiveness in Eleven V3 Text To Speech model.

Examples

See what Eleven V3 Text To Speech can create
---

Copy any prompt below and try it yourself in the [playground](/models/elevenlabs/eleven_v3).

Nostalgic Story

“\[slowly\] Back then... \[chuckles\] we had no phones. \[whispers\] Just dirt roads and \[coughs\] big dreams. \[sad\] Then it happened.”

Tech Narration

“\[excited\] Discover Eleven V3. \[pause\] Most expressive text to speech. \[confident\] Handles 70 languages with emotion control.”

Documentary Voice

“\[serious\] In 2026, AI voices evolved. \[reflective\] From narration to performance. \[enthusiastic\] Dialogue mode changes everything.”

Product Demo

“\[calm\] Introducing our new device. \[highlight\] Crystal clear audio. \[happy\] Powered by advanced synthesis.”

For Developers

A few lines of code.
Speech. Tags. Three Lines.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per second,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/voice/text-to-speech",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "Welcome to Modelslab! Experience Eleven V3 text-to-speech generating natural, expressive AI voices in over 32 languages. Perfect for videos, storytelling, podcasts, and multilingual content creation.",
  "voice_id": "XdoLPWNt7ytn6BtU4FBf"
}
)
print(response.json())</code>
```

FAQ

Common questions about Eleven V3 Text To Speech
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[Read the docs ](https://docs.modelslab.com)

### What is Eleven V3 Text To Speech?

Eleven V3 Text To Speech is the most expressive AI voice model. It supports audio tags for emotion and 70+ languages. Designed for creators needing performance-level output.

### What makes Eleven V3 Text To Speech model unique?

Features dialogue mode for multi-speaker talks and audio tags for whispers, laughs. Understands context for natural rhythm.

### Is Eleven V3 Text To Speech alternative to other TTS?

Offers superior expressiveness over standard TTS. Use for dynamic content like podcasts. Public API available now.

### Does Eleven V3 Text To Speech support voice cloning?

Works with cloned voices via voice ID. Enables expressive cloning with tags and dialogue. Select multilingual standard version.

### How to prompt Eleven v3 text to speech api?

Include tags like [angry] in text. Test voices for fit. Requires precise input for best results.

Ready to create?
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Start generating with Eleven V3 Text To Speech on ModelsLab.

[Try Eleven V3 Text To Speech](/models/elevenlabs/eleven_v3) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-05-20*