README.md

---
title: Coach Pro Lip Sync Tool
emoji: 🎤
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
hardware: t4-small
suggested_hardware: t4-small
suggested_storage: small
duplicate: true
tags:
- lip-sync
- ai
- video
- audio
- microphone
- tts
- gradio
- ipad
- mobile
---

# 🎬 Advanced Lip Sync Tool with Microphone Support

## 🌟 Features

### 🎤 **Microphone Integration**
- **Real-time Recording**: Direct microphone access in browser
- **Live Streaming**: Real-time audio processing
- **Cross-platform**: Works on iPad, iPhone, Desktop
- **Multiple Sources**: Upload files OR record live

### 🤖 **AI Models Supported**
- **Wav2Lip**: High accuracy lip synchronization
- **MuseTalk**: Real-time processing (30fps+)
- **SadTalker**: Natural expressions and emotions

### 📱 **iPad Optimized**
- ✅ Touch-friendly interface
- ✅ Safari/Chrome compatible
- ✅ Mobile-responsive design
- ✅ No local installation required

### 🎵 **Audio Features**
- **Text-to-Speech**: Convert text to natural speech
- **Multi-language**: English, اردو, हिंदी support
- **Voice Selection**: Male, Female, Natural voices
- **Format Support**: WAV, MP3, M4A

## 🚀 **Quick Start**

### 1. **Basic Lip Sync**
- Upload your video file
- Record audio with microphone OR upload audio file
- Choose AI model (Wav2Lip recommended for beginners)
- Click "Generate Lip Sync"

### 2. **Text-to-Speech**
- Upload your video
- Type text in English or اردو
- Select voice type and language
- Generate speech + lip sync automatically

### 3. **Live Recording**
- Use real-time microphone monitoring
- Test audio levels and quality
- Perfect for testing before main processing

## 📋 **Supported Formats**

### 📹 **Video Input**
- MP4, AVI, MOV, WebM
- Max size: 2GB
- Max duration: 10 minutes
- Recommended: 720p for faster processing

### 🎵 **Audio Input**
- WAV (recommended), MP3, M4A
- Sample rates: 16kHz - 48kHz
- Max recording: 30 seconds
- Min quality: 16-bit

## 🛠️ **Technical Specs**

### 🔧 **Processing**
- **Hardware**: GPU T4 acceleration
- **Speed**: 30-120 seconds per minute of video
- **Quality**: Up to 1080p output
- **Concurrent**: Multiple users supported

### 📱 **Mobile Compatibility**
- **iOS Safari**: ✅ Full support
- **Chrome Mobile**: ✅ Full support
- **iPad**: ✅ Optimized interface
- **Android**: ✅ Compatible

## 🎯 **Model Comparison**

| Feature | Wav2Lip | MuseTalk | SadTalker |
|---------|---------|----------|----------|
| **Accuracy** | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| **Speed** | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ |
| **Quality** | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| **Expressions** | ⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| **Real-time** | ❌ | ✅ | ❌ |
| **Any Identity** | ✅ | ✅ | ✅ |

## 🎨 **Use Cases**

### 📺 **Content Creation**
- YouTube videos
- Social media content
- Educational materials
- Marketing videos

### 🎬 **Professional**
- Film dubbing
- Language localization
- Voice-over replacement
- Commercial production

### 📱 **Personal**
- Family videos
- Meme creation
- Fun projects
- Learning tools

## 🔧 **iPad Setup Guide**

### 📱 **Step 1: Browser Setup**
```
1. Open Safari or Chrome
2. Navigate to this Space
3. Allow microphone permissions
4. Test with Live Recording tab
```

### 🎤 **Step 2: Microphone Test**
```
1. Go to "Live Recording" tab
2. Tap microphone icon
3. Speak normally
4. Check audio levels
```

### 🎬 **Step 3: Processing**
```
1. Upload video (MP4 recommended)
2. Record or upload audio
3. Choose quality (720p for speed)
4. Select AI model
5. Process and download
```

## 🐛 **Troubleshooting**

### 🎤 **Microphone Issues**
- Check browser permissions
- Try refreshing the page
- Use headphones to avoid feedback
- Ensure quiet environment

### ⚡ **Performance**
- Use 720p for faster processing
- Limit video to 5 minutes max
- Close other browser tabs
- Use WiFi for best experience

### 📱 **iPad Specific**
- Safari works better than Chrome
- Enable microphone in Settings > Safari
- Use landscape mode for better view
- Keep device charged during processing

## 📚 **API Usage**

This Space provides API endpoints for developers:

```python
import requests

# Example API call
response = requests.post(
    "https://huggingface.co/spaces/[USERNAME]/[SPACE]/api/predict",
    json={
        "data": [video_file, audio_file, "Wav2Lip"]
    }
)
```

## 🤝 **Contributing**

We welcome contributions! Areas for improvement:
- Additional AI models
- Better mobile optimization
- More language support
- Performance enhancements

## 📄 **License**

MIT License - Free for personal and commercial use

## 🙏 **Credits**

- **Wav2Lip**: Original research by IIIT Hyderabad
- **MuseTalk**: TMElyralab implementation
- **SadTalker**: Xi'an Jiaotong University
- **Gradio**: Interface framework
- **Hugging Face**: Hosting platform

## 📞 **Support**

- 💬 **Discussions**: Use the Community tab
- 🐛 **Bug Reports**: Create an issue
- 📧 **Contact**: [Your contact info]
- 📖 **Documentation**: See tabs in the app

---

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