Last Update: 2025/3/26

Qwen Speech API 【Deprecate】

The Qwen Speech API allows you to convert text to speech using OpenAI's SDK. This document provides an overview of the API endpoints, request parameters, and response structure.

Endpoint

POST https://platform.llmprovider.ai/v1/audio/speech

Request Headers

Header	Value
Authorization	Bearer YOUR_API_KEY
Content-Type	application/json

Request Body

The request body should be a JSON object with the following parameters:

Parameter	Type	Description
model	string	The model to use (e.g., qwen2-audio-instruct).
input	string	The text to generate audio for. The maximum length is 4096 characters.
voice	string	The voice to use (alloy, echo, fable, onyx, nova, or shimmer).
response_format	string	(Optional) The format of the audio response (mp3, opus, aac, or flac).
speed	number	(Optional) The speed of the generated audio. Select a value from 0.25 to 4.0. 1.0 is the default.

Example Request

{
  "model": "qwen2-audio-instruct",
  "input": "Hello, how are you today?",
  "voice": "alloy",
  "response_format": "mp3",
  "speed": 1.0
}

Response

The API returns an audio file in the requested format.

Example Request

Shell

curl -X POST https://platform.llmprovider.ai/v1/audio/speech \
-H "Authorization: Bearer $YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "model": "qwen2-audio-instruct",
  "input": "Hello, how are you today?",
  "voice": "alloy"
}' \
--output speech.mp3

nodejs

const axios = require('axios');
const fs = require('fs');

const apiKey = 'YOUR_API_KEY';
const url = 'https://platform.llmprovider.ai/v1/audio/speech';

const data = {
    model: 'qwen2-audio-instruct',
    input: 'Hello, how are you today?',
    voice: 'alloy'
};

const headers = {
    'Authorization': `Bearer ${apiKey}`,
    'Content-Type': 'application/json',
    'responseType': 'arraybuffer'
};

axios.post(url, data, { headers })
.then(response => {
    fs.writeFileSync('speech.mp3', response.data);
    console.log('Audio file saved as speech.mp3');
})
.catch(error => {
    console.error('Error:', error);
});

python

import requests

api_key = 'YOUR_API_KEY'
url = 'https://platform.llmprovider.ai/v1/audio/speech'

headers = {
    'Authorization': f'Bearer {api_key}',
    'Content-Type': 'application/json'
}

data = {
    'model': 'qwen2-audio-instruct',
    'input': 'Hello, how are you today?',
    'voice': 'alloy'
}

response = requests.post(url, headers=headers, json=data)

if response.status_code == 200:
    with open('speech.mp3', 'wb') as f:
        f.write(response.content)
    print('Audio file saved as speech.mp3')
else:
    print('Error:', response.status_code, response.text)

For any questions or further assistance, please contact us at [email protected].