Ez Clip

EZ CLIP

✨ Features

• High-quality transcription using WhisperX with word-level timestamps
• Speaker diarization to identify who said what
• Desktop GUI for easy interaction and real-time progress tracking
• SQLite database storage for transcripts and speaker segments
• Cross-platform support for macOS, Windows, and Linux
• Future-proof architecture ready to be used in web applications

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/username/easy-vid.git
cd easy-vid

# Install dependencies
pip install -r ez_clip_app/requirements.txt

# Run the application
python -m ez_clip_app.main

Requirements

• Python 3.9+
• PyTorch (CPU or CUDA)
• FFmpeg
• A Hugging Face token for speaker diarization functionality

For detailed installation instructions, see our [Installation Guide](docs/installation.md).

🖥️ Usage

1. **Launch the application**

   python -m ez_clip_app_app.main

2. **Select a media file** Click "Select Media File" button to choose your video or audio file

3. **Configure transcription settings**

   • Choose model size (tiny, base, small, medium, large-v1, large-v2, turbo)
   • Set language or use auto-detection
   • Enable/disable speaker diarization
   • Configure number of speakers

4. **View results**

   • Full transcript in the "Full