eleven_turbo_v2_5

This documentation is valid for the following list of our models:

elevenlabs/eleven_turbo_v2_5

A high-quality text-to-speech model offering natural-sounding intonation, support for 31 languages, and a broad selection of built-in voices. Up to 3× faster than eleven_multilingual_v2. A wide range of output audio formats and quality settings is also available.

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.

API Schema

post

Authorizations

AuthorizationstringRequired

Bearer key

Body

modelundefined · enumRequiredPossible values:

textstringRequired

The text content to be converted to speech.

voicestring · enumOptional

Name of the voice to be used.

Default: RachelPossible values:

apply_text_normalizationstring · enumOptional

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.

Possible values:

next_textstringOptional

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_textstringOptional

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.

output_formatstring · enumOptional

Format of the output content for non-streaming requests. Controls how the generated audio data is encoded in the response.

Possible values:

seedintegerOptional

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.

Responses

201Success

application/json

post

/v1/tts

async function main() {
  const response = await fetch('https://api.aimlapi.com/v1/tts', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer <YOUR_API_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      "model": "elevenlabs/eleven_turbo_v2_5",
      "text": "Cities of the future promise to radically transform how people live, work, and move. Instead of sprawling layouts, we’ll see vertical structures that integrate residential, work, and public spaces into single, self-sustaining ecosystems. Architecture will adapt to climate conditions, and buildings will be energy-efficient—generating power through solar panels, wind turbines, and even foot traffic."
    }),
  });

  const data = await response.json();
  console.log(JSON.stringify(data, null, 2));
}

main();

201Success

{
  "metadata": {
    "transaction_key": "text",
    "request_id": "text",
    "sha256": "text",
    "created": "2026-01-20T12:27:49.556Z",
    "duration": 1,
    "channels": 1,
    "models": [
      "text"
    ],
    "model_info": {
      "ANY_ADDITIONAL_PROPERTY": {
        "name": "text",
        "version": "text",
        "arch": "text"
      }
    }
  }
}

Code Example

import os
import requests


def main():
    url = "https://api.aimlapi.com/v1/tts"
    headers = {
         # Insert your AI/ML API key instead of <YOUR_AIMLAPI_KEY>:
        "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
    }
    payload = {
        "model": "elevenlabs/eleven_turbo_v2_5",
        "text": '''
        Cities of the future promise to radically transform how people live, work, and move. 
        Instead of sprawling layouts, we’ll see vertical structures that integrate residential, work, and public spaces into single, self-sustaining ecosystems. 
        Architecture will adapt to climate conditions, and buildings will be energy-efficient—generating power through solar panels, wind turbines, and even foot traffic.
    ''',
        "voice": "Nicole"
    }

    response = requests.post(url, headers=headers, json=payload, stream=True)
    # result = os.path.join(os.path.dirname(__file__), "audio.wav")  # if you run this code as a .py file
    result = "audio.wav"  # if you run this code in Jupyter Notebook    

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

    print("Audio saved to:", result)


main()

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

// Insert your AI/ML API key instead of <YOUR_AIMLAPI_KEY>:
const apiKey = "<YOUR_AIMLAPI_KEY>";

const data = JSON.stringify({
  model: "elevenlabs/eleven_turbo_v2_5",
  text: `
Cities of the future promise to radically transform how people live, work, and move. 
Instead of sprawling layouts, we’ll see vertical structures that integrate residential, work, and public spaces into single, self-sustaining ecosystems. 
Architecture will adapt to climate conditions, and buildings will be energy-efficient—generating power through solar panels, wind turbines, and even foot traffic.
  `,
  voice: "Nicole",
});

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;
  }

  const file = fs.createWriteStream("audio.wav");
  res.pipe(file);

  file.on("finish", () => {
    file.close();
    console.log("Audio saved to audio.wav");
  });
});

req.on("error", (e) => {
  console.error("Request error:", e);
});

req.write(data);
req.end();

Response

Audio saved to: audio.wav

Previouseleven_multilingual_v2 NextInworld

Last updated 24 days ago

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