VidGrabber

A powerful desktop application for downloading and processing YouTube content with an intuitive interface.

✨ Features

• Multi-Format Downloads: Download videos (MP4), audio (MP3/WAV), thumbnails (JPG), and tags (CSV).
• Quality Selection: Choose from available video qualities (144p to 2160p) with automatic detection.
• Queue Management: Add multiple downloads to queue and process them in batch (up to 5 concurrent downloads).
• Smart Path Management: Customize download locations for each file type with persistent settings.
• Theme Customization: Switch between Dark, Light, and System themes.
• Tag Extraction: Extract video tags and copy them directly to clipboard.
• Cross-Platform: Works seamlessly on Windows, macOS, and Linux.
• Auto-Updates: Automatically downloads and updates yt-dlp and ffmpeg binaries.
• Progress Tracking: Real-time download progress with visual indicators.

🛠️ Installation

Using the Pre-built Release

1. Download the appropriate executable for your platform from the Releases page:
   • Windows: VidGrabber.exe
   • macOS: VidGrabber-macOS.zip
   • Linux: VidGrabber-Linux.tar.gz
2. Extract the archive (if applicable).
3. On first launch, the app will automatically download required binaries (yt-dlp and ffmpeg)

🐧 Linux & 🍎 macOS Notes

Linux Users: Download the .tar.gz file, extract it, and run the binary inside. No installation required.

tar -xzf VidGrabber-Linux.tar.gz
./VidGrabber

macOS Users: If you receive a message that the app is "damaged" or "cannot be opened" (Gatekeeper error), run the following command in Terminal to allow execution:

xattr -cr /path/to/VidGrabber.app

Running from Source

# Clone the repository
git clone https://github.com/oheyek/VidGrabber.git
cd VidGrabber

# Install dependencies
pip install -r requirements.txt

# Run the application
python main.py

🎯 Usage

Basic Download

1. Paste a YouTube link into the input field.
2. Click "🔎 Grab video" to fetch video information.
3. Select your desired download option:
   • 🖼️ Download thumbnail (JPG) - Get the video thumbnail
   • 🎵 Download MP3/WAV - Extract audio only
   • 🎬 Download MP4 - Download video (select quality)
   • 🏷️ Tags (CSV + Clipboard) - Extract video tags

Queue Management

1. Click "📋 Queue Manager" to open the queue window.
2. When fetching video info, choose "➕ Add to Queue" instead of immediate download.
3. Add multiple items to the queue (max 5 per category).
4. Click "▶️ Download All" to process all queued downloads.
5. Use "🗑️ Clear All" to remove all items from queue.

Customizing Settings

1. Click "⚙️ Settings" button.
2. Appearance Tab: Choose between Dark, Light, or System theme.
3. Downloads Tab: Set custom download paths for each file type (MP4, MP3, WAV, JPG, Tags).
4. Credits Tab: View app information and support links.

📋 Available Downloads

Type	Format	Description
Video	MP4	Download in multiple qualities (144p-2160p)
Audio	MP3	Extract audio with 192K bitrate
Audio	WAV	Extract high-quality uncompressed audio
Thumbnail	JPG	Download video thumbnail image
Tags	CSV	Extract video tags to CSV and clipboard

🔧 Technical Details

• Language: Python 3
• GUI Framework: CustomTkinter 5.2.2
• Download Engine: yt-dlp (auto-updated)
• Media Processing: ffmpeg (auto-downloaded)
• Async Support: asyncio for non-blocking operations
• Clipboard: pyperclip for tag copying
• Logging: Comprehensive logging system for debugging

Key Dependencies

customtkinter==5.2.2
pyperclip==1.11.0
pillow==12.0.0
pytest==8.4.2
pytest-asyncio==1.2.0

🏗️ Building from Source

Windows

pyinstaller win.spec

macOS

pyinstaller macos.spec

Linux

pyinstaller linux.spec

The built executables will be located in the dist/ directory.

🗂️ Project Structure

VidGrabber/
├── main.py                      # Application entry point
├── src/
│   ├── downloader.py           # Video/audio download logic
│   ├── video_info.py           # YouTube video information fetcher
│   ├── thumbnail_downloader.py # Thumbnail download handler
│   ├── tag_extractor.py        # Tag extraction and CSV export
│   ├── path_manager.py         # Download path management
│   ├── logger.py               # Logging functionality
│   ├── updater.py              # Binary updater (yt-dlp, ffmpeg)
│   ├── queue/
│   │   └── download_queue.py   # Queue management system
│   └── ui/
│       ├── interface.py        # Main application UI
│       ├── queue_window.py     # Queue manager window
│       ├── themes/
│       │   └── basalt.json     # Custom theme
│       └── icons/
│           ├── icon.ico        # Windows icon
│           ├── icon.icns       # macOS icon
│           └── icon.png        # Linux icon
├── tests/                       # Unit tests
│   ├── conftest.py             # Pytest configuration
│   ├── test_downloader.py      # Downloader tests
│   ├── test_video_info.py      # Video info tests
│   ├── test_thumbnail_downloader.py
│   ├── test_tag_extractor.py
│   └── test_download_queue.py
├── requirements.txt            # Python dependencies
├── win.spec                    # PyInstaller config for Windows
├── macos.spec                  # PyInstaller config for macOS
├── linux.spec                  # PyInstaller config for Linux
├── Doxyfile                    # Documentation configuration
└── README.md                   # This file

🧪 Testing

The project includes comprehensive unit tests for all core functionality.

Running Tests

# Install test dependencies
pip install pytest pytest-asyncio

# Run all tests
pytest

# Run specific test file
pytest tests/test_downloader.py

# Run with verbose output
pytest -v

# Run with coverage
pytest --cov=src tests/

Test Coverage

• Video Download Tests: URL validation, quality selection, error handling
• Audio Download Tests: MP3/WAV format validation, invalid input handling
• Thumbnail Tests: Download validation, error cases
• Tag Extraction Tests: CSV generation, clipboard copying
• Queue Management Tests: Adding items, queue limits, batch processing
• Video Info Tests: URL cleaning, metadata extraction

🤝 Contributions

Contributions are welcome! Here's how you can help:

1. Fork the repository
2. Create a new feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is open source and available under the MIT License.

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Happy Downloading! 🎉

Author

Made with ❤️ by ohey

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If you find this project useful, consider buying me a coffee! ☕