# ElevenLabs v3 Text-to-Speech — Atlas Cloud API

> ElevenLabs v3 Text-to-Speech model. High-quality speech generation from text prompts.

This is the machine-readable API reference for **ElevenLabs v3 Text-to-Speech** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `elevenlabs/v3/text-to-speech`
- **Built by**: ELEVENLABS
- **Modality**: Audio
- **Model page**: https://www.atlascloud.ai/models/elevenlabs/v3/text-to-speech
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.1 per 1K characters
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_audio` with `model: "elevenlabs/v3/text-to-speech"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas models get elevenlabs/v3/text-to-speech --json
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateAudio` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `elevenlabs/v3/text-to-speech`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"elevenlabs/v3/text-to-speech"`

- **`text`** (`string`, _required_):
  The text to convert to speech. Maximum 5,000 characters.

- **`voice`** (`string`, _optional_):
  Voice identifier. Multilingual voices (Bella, Charlie, Liam, Jessica) support all languages; other voices are optimized for their native language and will cascade-update the language field.
  - Default: `"hpp4J3VqNfWAUOO0d1Us"`
  - Options: "hpp4J3VqNfWAUOO0d1Us", "CwhRBWXzGAHq8TQ4Fs17", "EXAVITQu4vr4xnSDxMaL", "FGY2WhTYpPnrIDTdsKH5", "IKne3meq5aSn9XLyUdCD", "JBFqnCBsd6RMkjVDRZzb", "N2lVS1w4EtoT3dr4eOWO", "SAz9YHcvj6GT2YYXdXww", "SOYHLrjzK2X1ezoPC6cr", "TX3LPaxmHKxFdv7VOQHJ", "Xb7hH8MSUJpSbSDYk0k2", "XrExE9yKIg1WjnnlVkGX", "bIHbv24MWmeRgasZH58o", "cgSgspJ2msm6clMCkdW9", "cjVigY5qzO86Huf0OWal", "iP95p4xoKVk53GoZ742B", "nPczCjzI2devNBz1zQrb", "onwK4e9ZLuTAKqWW03F9", "pFZP5JQG7iQjIQuC4Bku", "pNInz6obpgDQGcFmaJgB", "pqHfZKP75CvOlQylNhV4"

- **`stability`** (`number`, _optional_):
  Voice stability (0-1)
  - Default: `0.5`
  - Min: 0
  - Max: 1

- **`apply_text_normalization`** (`string`, _optional_):
  This parameter controls text normalization with three modes: 'auto', 'on', and 'off'. When set to 'auto', the system will automatically decide whether to apply text normalization (e.g., spelling out numbers). With 'on', text normalization will always be applied, while with 'off', it will be skipped.
  - Default: `"auto"`
  - Options: "auto", "on", "off"



**Required Parameters Example**:

```json
{
  "model": "elevenlabs/v3/text-to-speech",
  "text": ""
}
```


**Full Example**:

```json
{
  "model": "elevenlabs/v3/text-to-speech",
  "text": "",
  "voice": "hpp4J3VqNfWAUOO0d1Us",
  "stability": 0.5,
  "apply_text_normalization": "auto"
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):
  HTTP status code of the response.

- **`message`** (`string`, _optional_):
  Human-readable message; non-empty on failure.

- **`data`** (`object`, _optional_):
  - Properties:
    - **`id`** (`string`, _optional_):
      Unique identifier for the prediction.

    - **`model`** (`string`, _optional_):
      Model ID used for the prediction.

    - **`outputs`** (`array[string]`, _optional_):
      Array of URLs to the generated content. Null when status is not completed.

    - **`urls`** (`object`, _optional_):
      Object containing related API endpoints.
      - Properties:
        - **`get`** (`string`, _optional_):
          URL to poll for the prediction result.


    - **`has_nsfw_contents`** (`array[boolean]`, _optional_):
      Array of boolean values indicating NSFW detection for each output. Null if not applicable.

    - **`status`** (`string`, _optional_):
      Status of the task: created, processing, completed, timeout, or failed.

    - **`created_at`** (`string`, _optional_):
      ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

    - **`error`** (`string`, _optional_):
      Error message if the task failed, empty string otherwise.

    - **`error_code`** (`integer`, _optional_):
      Error code if the task failed.

    - **`executionTime`** (`number`, _optional_):
      Total execution time in milliseconds.

    - **`timings`** (`object`, _optional_):
      Detailed timing breakdown.
      - Properties:
        - **`inference`** (`number`, _optional_):
          Inference time in milliseconds.





**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": {
    "id": "",
    "model": "",
    "outputs": [
      ""
    ],
    "urls": {
      "get": ""
    },
    "has_nsfw_contents": [],
    "status": "",
    "created_at": "",
    "error": "",
    "error_code": 0,
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  }
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateAudio" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "elevenlabs/v3/text-to-speech",
  "text": "",
  "voice": "hpp4J3VqNfWAUOO0d1Us",
  "stability": 0.5,
  "apply_text_normalization": "auto"
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/elevenlabs/v3/text-to-speech)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### ElevenLabs V3 Text-to-Speech

**ElevenLabs V3 Text-to-Speech** is ElevenLabs' latest flagship speech synthesis model, delivering highly expressive, natural-sounding audio from text. With improved emotional range, multilingual fluency, and a diverse library of 21 built-in voices, V3 sets a new standard for AI voice generation.

#### Why Choose This?

-   **Expressive voice quality** V3 produces natural, human-like speech with nuanced emotion and intonation.

-   **Large voice library** Choose from 21 built-in voices covering a range of genders, ages, and speaking styles.

-   **Flexible text normalization** Control how numbers, abbreviations, and symbols are spoken with auto, on, or off modes.

-   **Adjustable stability** Fine-tune voice consistency versus expressiveness to match your content.

-   **Long-form support** Input up to 5,000 characters per request for articles, narrations, and scripts.

#### Parameters

| Parameter | Required | Description |
| --- | --- | --- |
| text | Yes | The text to convert to speech. Maximum 5,000 characters |
| voice | No | Voice to use (default: `Bella`). See voice list below |
| stability | No | Voice stability from 0 (expressive) to 1 (consistent), default: `0.5` |
| apply\_text\_normalization | No | Text normalization mode: `auto` (default), `on`, or `off` |

##### Available Voices

| Voice | Voice | Voice | Voice | Voice |
| --- | --- | --- | --- | --- |
| Bella | Roger | Sarah | Laura | Charlie |
| George | Callum | River | Harry | Liam |
| Alice | Matilda | Will | Jessica | Eric |
| Chris | Brian | Daniel | Lily | Adam |
| Bill | | | | |

#### How to Use

_(Description truncated. Full text on the model page.)_

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/elevenlabs/v3/text-to-speech · Docs: https://www.atlascloud.ai/docs