react-voice-feedback
v1.0.0
Published
A React component library for voice feedback using Speech Recognition API with automatic language detection
Maintainers
Readme
React Voice Feedback
A React component library for voice feedback using the Speech Recognition API with multi-language support.
Features
- 🎤 Voice recognition using Web Speech API
- 🌍 Auto-detection of user's browser language
- 🔧 Customizable language settings
- 📝 TypeScript support
- 🎨 Customizable UI texts
- 📦 Lightweight and easy to use
Installation
npm install react-voice-feedbackUsage
Basic Usage
import React from 'react';
import { VoiceFeedback } from 'react-voice-feedback';
function App() {
const handleTranscript = (text: string) => {
console.log('Voice input:', text);
};
return (
<div>
<VoiceFeedback onTranscript={handleTranscript} />
</div>
);
}Advanced Usage
import React from 'react';
import { VoiceFeedback } from 'react-voice-feedback';
function App() {
return (
<div>
{/* Auto-stop mode (default) - stops automatically after speech */}
<VoiceFeedback
language="en-US"
onTranscript={(text) => console.log('Received:', text)}
autoStop={true}
continuous={false}
/>
{/* Continuous mode - keeps listening until manually stopped */}
<VoiceFeedback
onTranscript={(text) => console.log('Received:', text)}
continuous={true}
autoStop={false}
buttonTexts={{
start: '🎤 Start Continuous Recording',
stop: '🛑 Stop Recording'
}}
/>
{/* Custom configuration */}
<VoiceFeedback
language="tr-TR"
onStart={() => console.log('Recording started')}
onEnd={() => console.log('Recording ended')}
onError={(error) => console.error('Error:', error)}
showTranscript={true}
continuous={false}
autoStop={true}
/>
</div>
);
}Props
| Prop | Type | Default | Description |
|------|------|---------|-------------|
| language | string | Auto-detected | Language code (e.g., 'en-US', 'tr-TR') |
| onTranscript | (text: string) => void | - | Callback when speech is recognized |
| onStart | () => void | - | Callback when recording starts |
| onEnd | () => void | - | Callback when recording ends |
| onError | (error: string) => void | - | Callback when an error occurs |
| buttonTexts | { start: string, stop: string } | Auto-detected | Custom button texts |
| showTranscript | boolean | true | Whether to show transcript below button |
| continuous | boolean | false | If true, keeps listening until manually stopped |
| autoStop | boolean | true | If true, automatically stops after speech recognition |
Recording Modes
Auto-Stop Mode (Default)
continuous: falseandautoStop: true- Automatically stops recording after the user finishes speaking
- Best for single commands or short phrases
- No manual intervention needed
Continuous Mode
continuous: trueandautoStop: false- Keeps listening until manually stopped by the user
- Best for longer dictation or multi-sentence input
- User must click stop button to end recording
Manual Mode
continuous: falseandautoStop: false- Stops only when the speech recognition API decides (usually after silence)
- Provides more control over when recording ends
Language Support
The component automatically detects the user's browser language. If no language is specified, it will use the browser's primary language.
Supported languages include:
- English (en-US, en-GB, etc.)
- Turkish (tr-TR)
- Spanish (es-ES, es-MX, etc.)
- French (fr-FR)
- German (de-DE)
- And many more supported by the Web Speech API
Browser Support
This component requires browsers that support the Web Speech API:
- Chrome (recommended)
- Edge
- Safari (limited support)
- Firefox (limited support)
Development
# Install dependencies
npm install
# Start development server
npm run dev
# Build library
npm run build:lib
# Lint
npm run lintLicense
MIT
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. { files: ['**/*.{ts,tsx}'], extends: [ // Other configs... // Enable lint rules for React reactX.configs['recommended-typescript'], // Enable lint rules for React DOM reactDom.configs.recommended, ], languageOptions: { parserOptions: { project: ['./tsconfig.node.json', './tsconfig.app.json'], tsconfigRootDir: import.meta.dirname, }, // other options... }, }, ])
