aura

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

• #g1_aura-angus-en

• #g1_aura-arcas-en

• #g1_aura-asteria-en

• #g1_aura-athena-en

• #g1_aura-helios-en

• #g1_aura-hera-en

• #g1_aura-luna-en

• #g1_aura-orion-en

• #g1_aura-orpheus-en

• #g1_aura-perseus-en

• #g1_aura-stella-en

• #g1_aura-zeus-en

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.

Submit a request

API Schema

post

/v1/tts

Authorizations

Body

modelundefined · enumrequired

Options: #g1_aura-angus-en, #g1_aura-arcas-en, #g1_aura-asteria-en, #g1_aura-athena-en, #g1_aura-helios-en, #g1_aura-hera-en, #g1_aura-luna-en, #g1_aura-orion-en, #g1_aura-orpheus-en, #g1_aura-perseus-en, #g1_aura-stella-en, #g1_aura-zeus-en

textstringrequired

containerstring

encodingstring · enum · default: linear16

Options: linear16, mulaw, alaw, mp3, opus, flac, aac

sample_ratestring

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/tts' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "#g1_aura-angus-en",
    "text": "text",
    "container": "text",
    "encoding": "linear16",
    "sample_rate": "text"
  }'

201

201

{
  "metadata": {
    "transaction_key": "text",
    "request_id": "text",
    "sha256": "text",
    "created": "2025-03-15T01:12:42.647Z",
    "duration": 1,
    "channels": 1,
    "models": [
      "text"
    ],
    "model_info": {
      "ANY_ADDITIONAL_PROPERTY": {
        "name": "text",
        "version": "text",
        "arch": "text"
      }
    }
  }
}