# imageOptimizer

imageOptimizer is a simple Python application with a graphical user interface (GUI) that allows users to rename and/or resize a batch of images within a selected directory. This tool is especially useful for tasks like organizing and preparing images for various projects. I use it a lot during web design or making thumbnails.

## Features

- Rename images by appending a project name and an index to the original file names.
- Resize images by specifying a percentage of the original dimensions. Can Resize up to 125%.
- Option to choose between renaming, resizing, or both.
- Ability to process images in bulk within a selected directory.
- User-friendly GUI for easy interaction.
- Ability to dynamically create thumbnails.

## Requirements

- Python 3.x
- Tkinter (Python's standard GUI library)
- Pillow (Python Imaging Library, required for image processing)

## How to Use

1. Clone or download this repository to your local machine.

2. Install the required Python libraries if you haven't already, preferably in a virtual environment:

   ```bash
   pip install pillow
   ```

3. Run the imageOptimizer.py script:

   python imageOptimizer.py

4. Use the GUI to perform the following steps:

   • Enter the project name in the "Project Name" field.
   • Check the "Rename Images" checkbox to enable renaming if needed.
   • Check the "Resize Images" checkbox to enable resizing if needed.
   • Use the slider to set the desired resize percentage (if resizing is enabled).
   • Click the "Process Images" button to initiate the image processing.

5. Select a directory containing the images you want to process using the file dialog that appears.

License

imageOptimizer is open-source software released under the MIT License. You are free to use, modify, and distribute it as per the terms of the license.

Author

Irving Moliina

If you encounter any issues or have suggestions for improvement, please feel free to create an issue on GitHub.

Happy image processing!