Aura

This documentation is valid for the following list of our models

#g1_aura-angus-en	Try in Playground
#g1_aura-arcas-en	Try in Playground
#g1_aura-asteria-en	Try in Playground
#g1_aura-athena-en	Try in Playground
#g1_aura-helios-en	Try in Playground
#g1_aura-hera-en	Try in Playground
#g1_aura-luna-en	Try in Playground
#g1_aura-orion-en	Try in Playground
#g1_aura-orpheus-en	Try in Playground
#g1_aura-perseus-en	Try in Playground
#g1_aura-stella-en	Try in Playground
#g1_aura-zeus-en	Try in Playground

Model Overview

Deepgram Aura is the first text-to-speech (TTS) AI model designed for real-time, conversational AI agents and applications. It delivers human-like voice quality with unparalleled speed and efficiency. It has dozen natural, human-like voices with lower latency than any comparable voice AI alternative and supports seamless integration with Deepgram's industry-leading Nova speech-to-text API.

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

Body

modelstring · enumRequiredPossible values:

voicestring · enumOptional

The voice to use for speech synthesis.

Default: asteriaPossible values:

textstringRequired

The text content to be converted to speech.

containerstringOptional

The file format wrapper for the output audio. The available options depend on the encoding type.

encodingstring · enumOptional

Specifies the expected encoding of your audio output

Default: linear16Possible values:

sample_ratestringOptional

Audio sample rate in Hz.

streambooleanOptionalDefault: true

Responses

200Success

audiostring · uriRequired

post/v1/tts

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/tts' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
      "model": "deepgram/aura",
      "voice": "asteria",
      "text": "Cities of the future promise to radically transform how people live, work, and move. Instead of sprawling layouts, we will 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."
    }'

200Success

{
  "audio": "https://example.com",
  "meta": {
    "usage": {
      "credits_used": 120000,
      "usd_spent": 0.06
    }
  }
}

Code Example

Python

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": "#g1_aura-athena-en",
        "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.
    '''
    }

    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()

JavaScript

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: "#g1_aura-athena-en",
  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 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

https://drive.google.com/file/d/1DUlxcHSq4iZzDEVG1dbTLGJHMqeMlQpt/view?usp=sharingdrive.google.com