KH ImageOptimizer

KH ImageOptimizer is a user-friendly and efficient image resizing and optimization tool designed to simplify the process of reducing image file sizes while maintaining quality. This project features a graphical user interface (GUI) built with Tkinter, making it accessible for users of all skill levels.

Features

• Auto Optimization: Automatically resize images to optimal web resolution.
• Manual Resize Options: Specify custom width and height for resizing.
• Replace Original Images: Option to overwrite the original images with the resized ones.
• Rename Output Files: Add a suffix to resized images for easy identification.
• Delete Input Files: Option to delete original images after resizing.
• Support for Various Image Formats: Works with PNG, JPG, JPEG, BMP, GIF, and more.
• Progress Tracking: Real-time progress bar and status updates during the resizing process.

Getting Started

Prerequisites

• Python 3.x
• Pillow library for image processing

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/KH-ImageOptimizer.git
   cd KH-ImageOptimizer

2. Create a virtual environment and activate it (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install pillow

Usage

1. Run the script:

   python image-optimizer.py

2. Use the GUI to select the input folder, configure your resizing options, and start the resizing process.