Image Optimizer

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The Image Optimizer is a desktop application built using PyQt6 and Python. It allows users to optimize images by selecting a profile, including optimizing for web usage and resizing images to specific aspect ratios. The application converts images to the WebP format with optimized quality, making it particularly useful for e-commerce to ensure images are efficiently prepared for responsive web use.

Features

• Select Profiles:

  • Optimize: General optimization converting images to WebP format with 85/100 quality.
  • Optimize and Resize: Optimize and resize images to one of the following aspect ratios:
    • 1:1 (carré)
    • 3:4 (portrait)
    • 4:3 (paysage)
    • 16:9 (large)
    • 9:16 (vertical)

• Image Optimization:

  • Convert images to the WebP format for optimized web performance.
  • Sanitize filenames.

• Aspect Ratio Resizing:

  • Resize images to fit the selected aspect ratio while covering the target dimensions.
  • Automatically crop images to eliminate any black borders and ensure a clean fit.

Requirements

• Python 3.x
• PyQt6
• Pillow (PIL)

Installation

1. Clone the Repository:

• git clone [email protected]:Leonhart130/img-optimizer-simplified.git

2. Create a Virtual Environment:

• python -m venv venv

3. Activate the Virtual Environment:

• On Windows:

  venv\Scripts\Activate.ps1
  

• On macOS/Linux:

  source venv/bin/activate
  

4. Install Dependencies:

• pip install -r requirements.txt

Usage

1. Run the Application:

python main.py

2. Select a Profile:

• Optimize: Only optimizes images without resizing.
• Optimize and Resize: Optimizes and resizes images to the selected aspect ratio.

3. Choose an Aspect Ratio (if "Optimize and Resize" is selected):

• 1:1 (carré)
• 3:4 (portrait)
• 4:3 (paysage)
• 16:9 (large)
• 9:16 (vertical)

4. Select Images:

• Click "Sélectionner les fichiers" to choose images.

5. Process Images:

• The application will process and save the images in the appropriate directory (optimized_images or resized_images).

Building an Executable

1. Create the Executable:

   pyinstaller --windowed main.py

2. Run the Executable:

   • Navigate to the dist directory and run main.exe (Windows) or main (macOS/Linux).

License

This project is licensed under the MIT License - see the https://github.com/Leonhart130/img-optimizer/blob/main/LICENSE file for details.