Export AI Audio

The audio export section shows you how to send an API request in JSON format to create an audio file with the AI Model's voice.

1. API endpoint

https://app.deepbrain.io/api/odin/v3/simple/audio

2. Request parameter

key	desc	type	required	default
language	Langauge of the script is written in.	String	true	-
text	Text for AI to read. It must match the langauge of your selected model.	String	true	-
model	AI Model to be used.	String	true	-
tts	External TTS information that is not the default voice of the model.	Json	false	-

3. Response parameters

key	desc	type
fileName	Name of audio file created.	String
downloadUrl	Download path of the file created.	String
metaList	Metadata of the file created.	Array(json)

4. Sample Request

cURL

curl https://app.deepbrain.io/api/odin/v3/simple/audio  \
-H "Authorization: ${API KEY}" \
-H "Content-Type: application/json" \
-X POST \
-d '{
      "language": "en",
      "text": "Hello, this is test video",
      "model": "M000045058"
    }'

Node.js

import axios from "axios";
const token = ${API KEY};

axios.post('https://app.deepbrain.io/api/odin/v3/simple/audio', 
  {
    "language": "en",
    "text": "Hello, this is test video",
    "model": "M000045058"
  }, 
  {
    headers: {
      'Authorization': ${token},
      'Content-Type': 'application/json'
    }
  }
)
.then((res) => {
  console.log(res.data);
})
.catch((error) => {
  console.error(error);
})

Python

import requests
import json

url = "https://app.deepbrain.io/api/odin/v3/simple/audio"
body = {
  "language": "en",
  "text": "Hello, this is test video",
  "model": "M000045058"
}
    
headers = {
  "Content-Type": "application/json",
  "Authorization": ${API TOKEN}
}

r = requests.post(url, data=json.dumps(body), headers=headers)