@fcodes/tts
v1.24.5
Published
A high-quality & reliable TTS React Hooks library
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A high-quality & reliable TTS/STT library for Server and Browser
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📖 Introduction
🤖 Lobe Chat supports Text-to-Speech (TTS) and Speech-to-Text (STT) technologies, enabling our application to convert text messages into clear voice outputs, allowing users to interact with our conversational agent as if they were talking to a real person. Users can choose from a variety of voices to pair with the agent.
In the process of implementing this feature, we found that there was no satisfactory TTS (Text-to-Speech) frontend library available on the market. As a result, we invested a lot of effort, including data conversion, audio progress management, and speech visualization, among other tasks.
[!NOTE]
Therefore, we decided to refine our implementation and make it open source, hoping to assist developers who wish to implement TTS. @fcodes/tts is a high-quality TTS toolkit developed in TypeScript, which supports usage both on the server-side and in the browser.
- Server-side: With just 15 lines of code, you can achieve high-quality voice generation capabilities comparable to OpenAI's TTS service. It currently supports EdgeSpeechTTS, MicrosoftTTS, OpenAITTS, and OpenAISTT.
- Browser-side: It provides high-quality React Hooks and visual audio components, supporting common functions such as loading, playing, pausing, and dragging the timeline. Additionally, it offers a very rich set of capabilities for adjusting the audio track styles.
📦 Usage
Generate Speech on server
run the script below use Bun: bun index.js
// index.js
import { EdgeSpeechTTS } from '@fcodes/tts';
import { Buffer } from 'buffer';
import fs from 'fs';
import path from 'path';
// Instantiate EdgeSpeechTTS
const tts = new EdgeSpeechTTS({ locale: 'en-US' });
// Create speech synthesis request payload
const payload = {
input: 'This is a speech demonstration',
options: {
voice: 'en-US-GuyNeural',
},
};
// Call create method to synthesize speech
const response = await tts.create(payload);
// generate speech file
const mp3Buffer = Buffer.from(await response.arrayBuffer());
const speechFile = path.resolve('./speech.mp3');
fs.writeFileSync(speechFile, mp3Buffer);
https://github.com/lobehub/lobe-tts/assets/28616219/3ab68c5a-2745-442e-8d66-ca410192ace1
[!IMPORTANT]
Run on Node.jsAs the Node.js environment lacks the
WebSocket
instance, we need to polyfill WebSocket. This can be done by importing the ws package.
// import at the top of the file
import WebSocket from 'ws';
global.WebSocket = WebSocket;
Use the React Component
import { AudioPlayer, AudioVisualizer, useAudioPlayer } from '@fcodes/tts/react';
export default () => {
const { ref, isLoading, ...audio } = useAudioPlayer(url);
return (
<Flexbox align={'center'} gap={8}>
<AudioPlayer audio={audio} isLoading={isLoading} style={{ width: '100%' }} />
<AudioVisualizer audioRef={ref} isLoading={isLoading} />
</Flexbox>
);
};
https://github.com/lobehub/lobe-tts/assets/28616219/c2638383-314f-44c3-b358-8fbbd3028d61
📦 Installation
[!IMPORTANT]
This package is ESM only.
To install @fcodes/tts
, run the following command:
$ pnpm i @fcodes/tts
$ bun add @fcodes/tts
Compile with Next.js
[!NOTE]
By work correct with Next.js SSR, addtranspilePackages: ['@fcodes/tts']
tonext.config.js
. For example:
const nextConfig = {
transpilePackages: ['@fcodes/tts'],
};
⌨️ Local Development
You can use Github Codespaces for online development:
Or clone it for local development:
$ git clone https://github.com/lobehub/lobe-tts.git
$ cd lobe-tts
$ bun install
$ bun dev
🤝 Contributing
Contributions of all types are more than welcome, if you are interested in contributing code, feel free to check out our GitHub Issues to get stuck in to show us what you’re made of.
🩷 Sponsor
Every bit counts and your one-time donation sparkles in our galaxy of support! You're a shooting star, making a swift and bright impact on our journey. Thank you for believing in us – your generosity guides us toward our mission, one brilliant flash at a time.
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