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          • aura
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  1. API REFERENCES
  2. Voice/Speech Models
  3. Text-to-Speech
  4. Deepgram

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 donโ€™t have an API key for the Apilaplas API yet, feel free to use our Quickstart guide.

Submit a request

API Schema

PreviousDeepgramNextContent Moderation Models

Last updated 1 month ago

  • Model Overview
  • Setup your API Key
  • Submit a request
  • API Schema
  • POST/v1/tts
post
Authorizations
Body
modelundefined ยท enumRequiredPossible values:
textstringRequired
containerstringOptional
encodingstring ยท enumOptionalDefault: linear16Possible values:
sample_ratestringOptional
Responses
201Success
application/json
post
POST /v1/tts HTTP/1.1
Host: api.apilaplas.com
Authorization: Bearer <YOUR_LAPLASAPI_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": "2025-06-20T08:29:03.550Z",
    "duration": 1,
    "channels": 1,
    "models": [
      "text"
    ],
    "model_info": {
      "ANY_ADDITIONAL_PROPERTY": {
        "name": "text",
        "version": "text",
        "arch": "text"
      }
    }
  }
}