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.

API Schema

post

Authorizations

Body

modelundefined · enumRequiredPossible 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

The sample rate for the output audio. Based on the encoding, different sample rates are supported. For some encodings, the sample rate is not configurable

Responses

201Success

application/json

post

HTTPcURLJavaScriptPython

POST /v1/tts HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 105

{
  "model": "#g1_aura-angus-en",
  "text": "text",
  "container": "text",
  "encoding": "linear16",
  "sample_rate": "text"
}

201Success

{
  "metadata": {
    "transaction_key": "text",
    "request_id": "text",
    "sha256": "text",
    "created": "2025-07-10T01:52:33.280Z",
    "duration": 1,
    "channels": 1,
    "models": [
      "text"
    ],
    "model_info": {
      "ANY_ADDITIONAL_PROPERTY": {
        "name": "text",
        "version": "text",
        "arch": "text"
      }
    }
  }
}