Resize Ninja is a flexible Python tool developed with PyQt5, designed to provide a user-friendly interface for adjusting image sizes and formats. Whether you need to create cover art for an album, wallpaper for your desktop, icons, or just need to simply adjust images to fit specific dimensions, Resize Ninja simplifies the process with its user-friendly features.
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Clone the repository:
git clone https://github.com/pudszttiot/Resize-Ninja.git
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Install dependencies:
pip install -r requirements.txt
Tip
Save yourself valuable time by simply clicking the download button provided below.
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Run the app using the below command:
python Resize-Ninja.py
Image Resizing:
- Resize images to predefined dimensions or custom dimensions specified by the user.
- Support for various output formats including PNG, GIF, ICO, and JPEG.
User-friendly Interface:
- Intuitive GUI for easy navigation and interaction.
- Clear labeling and instructions for each step of the resizing process.
- Visually appealing design with custom fonts and color schemes.
Input Selection:
- Ability to select one or multiple image files for resizing.
- Convenient file dialog for browsing and choosing images.
Output Management:
- Selection of output folder for saving resized images.
- Customizable file naming and format options for saved images.
Predefined Dimensions:
- Predefined options for common image dimensions such as album cover art, full HD, and icons.
- Customizable dimensions for specific resizing requirements.
Confirmation Dialog:
- Confirmation prompt before initiating the resizing process to prevent accidental operations.
- Option to cancel resizing if required.
Progress Tracking:
- Dynamic progress bar to track the status of image resizing.
- Visual feedback to indicate completion of the resizing process.
Informational Dialogs:
- "How To Use" dialog providing detailed instructions for using the application effectively.
- "About" dialog with version information and developer details.
Contributions are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or create a pull request on GitHub.
For any inquiries or support, you can contact pudszttiot9@proton.me
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