v3_alpha

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

• elevenlabs/v3_alpha

Try in Playground

The model supports a wide range of output formats and quality levels, text normalization, and over 70 languages.

How to Make a Call

Step-by-Step Instructions

1️ Setup You Can’t Skip

▪️ Create an Account: Visit the AI/ML API website and create an account (if you don’t have one yet). ▪️ Generate an API Key: After logging in, navigate to your account dashboard and generate your API key. Ensure that key is enabled on UI.

2️ Copy the code example

At the bottom of this page, you'll find a code example that shows how to structure the request. Choose the code snippet in your preferred programming language and copy it into your development environment.

3️ Modify the code example

▪️ Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key from your account. ▪️ Provide your instructions via the text parameter and set the model voice in the voice parameter.

4️ ^_(Optional) Adjust other optional parameters if needed

Only text and voice are required parameters for this model (and we’ve already filled them in for you in the example), but you can include optional parameters if needed to adjust the model’s behavior. Below, you can find the corresponding API schema, which lists all available parameters along with notes on how to use them.

5️ Run your modified code

Run your modified code in your development environment. Response time depends on various factors, but for simple prompts it rarely exceeds 5 seconds.

If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our Quickstart guide.

Quick Code Example

Here is an example of generating an audio response to the user input provided in the text parameter.

Python

import os
import request


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/v3_alpha",
        "text": "Hi! What are you doing today?",
        "voice": "Alice"
    }

    response = requests.post(url, headers=headers, json=payload, stream=True)
    dist = os.path.abspath("audio.wav")

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

    print("Audio saved to:", dist)


main()

JavaScript

Response

Audio saved to: c:\Users\user\Documents\Python Scripts\AUDIOs\audio.wav

Listen to the audio response:

API Schemas

post

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Body

application/json

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:

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

JavaScriptPythoncURLHTTP

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/v3_alpha",
      "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": "2026-01-23T12:15:09.356Z",
    "duration": 1,
    "channels": 1,
    "models": [
      "text"
    ],
    "model_info": {
      "ANY_ADDITIONAL_PROPERTY": {
        "name": "text",
        "version": "text",
        "arch": "text"
      }
    }
  }
}