joj-text-to-speech

The JoJ Text to Speech MCP (Multi-Channel Processing) server is designed to convert written text into natural-sounding speech using advanced AI technologies. This service is ideal for developers and businesses looking to integrate voice capabilities into their applications, websites, or tools. It offers AI-powered text-to-speech conversion, multiple usage plans, and high performance with minimal latency. The server provides a set of tools to facilitate text-to-speech conversion, ensuring flexibility and scalability for various projects.

Features

• AI-Powered Text to Speech: Leverage the power of artificial intelligence to generate high-quality, human-like speech from text input.
• Multiple Usage Plans: Choose from various service plans tailored to meet different needs and budgets, ensuring flexibility and scalability for your projects.
• High Performance: Enjoy a service with a 100% service level and minimal latency, ensuring that your text-to-speech requests are handled efficiently and effectively.

MCP Tools

• Synthesize: The Synthesize tool allows you to convert text into speech using the Text-to-Speech (v2) function. This tool utilizes cutting-edge technology to ensure the produced speech is both high-quality and natural-sounding.

Usage with Different Platforms

python

python
import requests

url = 'https://joj-text-to-speech-api.com/synthesize'
headers = {'Authorization': 'Bearer YOUR_API_KEY'}
data = {'text': 'Hello, world!'}

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

if response.status_code == 200:
    with open('output.mp3', 'wb') as f:
        f.write(response.content)
else:
    print('Error:', response.status_code)