Screen Recorder

A powerful and user-friendly screen recording tool built with Python that allows you to capture screenshots and record videos from multiple monitors.

Features

• Multi-Monitor Support: Detect and use any connected monitor
• Screenshot Capture:
  • Save screenshots in PNG format
  • Automatic clipboard copy
  • Timestamp-based file naming
• Video Recording:
  • High-quality MKV video format
  • 30 FPS recording
  • Live preview window
  • Multiple video codec support (XVID, MJPG, I420)
• File Management:
  • Organized file storage in dedicated folders
  • Built-in cleanup utilities
  • Timestamp-based file naming

Requirements

• Python 3.7+
• Windows OS (due to win32clipboard dependency)

Installation

1. Clone this repository:

git clone https://github.com/socamalo/screen_recorder.git
cd screen-recorder

2. Install the required packages:

pip install -r requirements.txt

Usage

Run the program:

python main.py

Main Menu Options:

1. Take Screenshot: Capture a still image of the selected monitor
2. Record Video: Start video recording of the selected monitor
3. Clean Screenshots Folder: Remove all screenshots
4. Clean Videos Folder: Remove all recorded videos
5. Exit: Close the application

Controls

• Press Esc to stop video recording
• Press q to quit the preview window

Output Files

• Screenshots are saved in the screenshots folder
• Videos are saved in the videos folder
• Files are automatically named with timestamps (format: YYYY-MM-DD HHh-MMm-SSs)

Dependencies

• opencv-python: Video processing and recording
• numpy: Array operations
• mss: Screen capture
• Pillow: Image processing
• keyboard: Keyboard event handling
• pywin32: Windows clipboard operations

Contributing

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

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Thanks to the MSS library for efficient screen capture
• OpenCV community for video processing capabilities
• All contributors and users of this project