README.md

metadata

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:

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

---

🌟 Star this Space if you find it useful!

Made with ❤️ for the AI community