> For the complete documentation index, see [llms.txt](https://docs.aimlapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimlapi.com/api-references/speech-models/text-to-speech/elevenlabs/eleven_v4.md).

# Eleven v4

{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:

* `elevenlabs/eleven_v4`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/elevenlabs/eleven_v4" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

## Model Overview

ElevenLabs v4 is the most expressive ElevenLabs text-to-speech model, with inline audio tags for emotion and delivery in 90+ languages.

## Setup your API Key

If you don't have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).

## API Schema

## POST /v1/tts

>

```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v1/tts":{"post":{"operationId":"_v1_tts","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["elevenlabs/eleven_v4"]},"text":{"type":"string","description":"The text content to be converted to speech."},"voice":{"type":"string","enum":["Rachel","Bella","Roger","Sarah","Laura","Charlie","George","Callum","River","Harry","Liam","Alice","Matilda","Will","Jessica","Eric","Chris","Brian","Daniel","Lily","Adam","Bill","Drew","Clyde","Paul","Aria","Domi","Dave","Fin","Antoni","Thomas","Emily","Elli","Patrick","Dorothy","Josh","Charlotte","James","Joseph","Jeremy","Michael","Ethan","Gigi","Freya","Grace","Serena","Nicole","Jessie","Sam","Glinda","Giovanni","Mimi"],"default":"Rachel","description":"Name of the voice to be used."},"apply_text_normalization":{"type":"string","enum":["auto","on","off"],"description":"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."},"output_format":{"type":"string","enum":["mp3_22050_32","mp3_44100_32","mp3_44100_64","mp3_44100_96","mp3_44100_128","mp3_44100_192","pcm_8000","pcm_16000","pcm_22050","pcm_24000","pcm_44100","pcm_48000","ulaw_8000","alaw_8000","opus_48000_32","opus_48000_64","opus_48000_96","opus_48000_128","opus_48000_192"],"description":"Format of the output content for non-streaming requests. Controls how the generated audio data is encoded in the response."},"voice_settings":{"type":"object","properties":{"stability":{"type":"number","minimum":0,"maximum":1,"default":0.5,"description":"Determines how stable the voice is and the randomness between each generation. Lower values introduce broader emotional range for the voice. Higher values can result in a monotonous voice with limited emotion."},"similarity_boost":{"type":"number","minimum":0,"maximum":1,"default":0.75,"description":"Determines how closely the AI should adhere to the original voice when attempting to replicate it."}},"description":"Voice settings overriding stored settings for the given voice. They are applied only on the given request."},"seed":{"type":"integer","description":"If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed."},"stream":{"type":"boolean","default":true},"next_text":{"type":"string","description":"The text that comes after the text of the current request. Can be used to improve the speech's continuity when concatenating together multiple generations or to influence the speech's continuity in the current generation."},"previous_text":{"type":"string","description":"The text that came before the text of the current request. Can be used to improve the speech's continuity when concatenating together multiple generations or to influence the speech's continuity in the current generation."}},"required":["model","text"],"title":"elevenlabs/eleven_v4"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"audio":{"type":"string","format":"uri"},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."},"usd_spent":{"type":"number","description":"The total amount of money spent by the user in USD."}},"required":["credits_used","usd_spent"]}},"description":"Additional details about the generation."}},"required":["audio"]}},"audio/wav":{"schema":{"type":"string","format":"binary","description":"Audio stream"}}},"description":"Successful response."}}}}}}
```

## Code Example

{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}

```python
import requests

def main():
    url = "https://api.aimlapi.com/v1/tts"
    headers = {
        # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
        "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
    }
    payload = {
        "model": "elevenlabs/eleven_v4",
        "text": "Cities of the future promise to radically transform how people live, work, and move.",
        "voice": "en-US-AvaNeural",
    }

    try:
        response = requests.post(url, headers=headers, json=payload)
        response.raise_for_status()

        response_data = response.json()
        audio_url = response_data["audio"]["url"]

        audio_response = requests.get(audio_url, stream=True)
        audio_response.raise_for_status()

        # result = os.path.join(os.path.dirname(__file__), "audio.mp3")  # if you run this code as a .py file
        result = "audio.mp3"  # if you run this code in Jupyter Notebook

        with open(result, "wb") as write_stream:
            for chunk in audio_response.iter_content(chunk_size=8192):
                if chunk:
                    write_stream.write(chunk)

        print("Audio saved to:", result)

    except requests.exceptions.RequestException as e:
        print(f"Error making request: {e}")

if __name__ == "__main__":
    main()
```

{% endcode %}
{% endtab %}

{% tab title="JS" %}
{% code overflow="wrap" %}

```javascript
const https = require("https");
const fs = require("fs");

// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
const apiKey = "<YOUR_AIMLAPI_KEY>";

const data = JSON.stringify({
  model: "elevenlabs/eleven_v4",
  text: "Cities of the future promise to radically transform how people live, work, and move.",
  voice: "en-US-AvaNeural",
});

const options = {
  hostname: "api.aimlapi.com",
  path: "/v1/tts",
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
    "Content-Length": Buffer.byteLength(data),
  }
};

const req = https.request(options, (res) => {
  if (res.statusCode >= 400) {
    let error = "";
    res.on("data", chunk => error += chunk);
    res.on("end", () => console.error(`Error ${res.statusCode}:`, error));
    return;
  }

  let body = "";
  res.on("data", chunk => body += chunk);
  res.on("end", () => {
    const audioUrl = JSON.parse(body).audio.url;

    https.get(audioUrl, (audioRes) => {
      const file = fs.createWriteStream("audio.mp3");
      audioRes.pipe(file);
      file.on("finish", () => {
        file.close();
        console.log("Audio saved to audio.mp3");
      });
    });
  });
});

req.on("error", (e) => console.error("Request error:", e));
req.write(data);
req.end();
```

{% endcode %}
{% endtab %}
{% endtabs %}

<details>

<summary>Response</summary>

```
Audio saved to: audio.mp3
```

</details>


---

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