This Python script resizes images in bulk from an input folder to a specified size and saves them in an output folder. The script supports .jpg, .jpeg, and .png image formats. It's useful for resizing large numbers of images quickly and easily.

• Resizes multiple images in a batch.
• Supports .jpg, .jpeg, and .png file formats.
• Resize to exact dimensions.
• Saves resized images in a separate output folder.

• Python 3.x
• Pillow library (Python Imaging Library)

1. Install Python: Ensure Python 3.x is installed on your system. You can download it from python.org.

2. Install Pillow Library: Install the required Python library using pip.

   pip install pillow

1. Set the following variables in the script:

   • INPUT_FOLDER: Directory containing the images you want to resize.
   • OUTPUT_FOLDER: Directory where the resized images will be saved.
   • NEW_SIZE: The new dimensions to which the images will be resized (width, height).

2. The script will resize all images in the INPUT_FOLDER to the dimensions specified in NEW_SIZE and save them in the OUTPUT_FOLDER.

1. Prepare your images: Place all the images you want to resize in the input_images folder (or the folder specified in the INPUT_FOLDER variable).

2. Run the script:

   python app.py

   The script will process all .jpg, .jpeg, and .png images in the input folder, resize them, and save them in the output folder.

3. Output Folder: After running the script, you'll find the resized images in the output_images folder (or the folder specified in the OUTPUT_FOLDER variable).

input_images/
    image1.jpg
    image2.png
    image3.jpeg
output_images/
    image1.jpg
    image2.png
    image3.jpeg

• The script automatically creates the output folder (output_images) if it does not exist.
• All images are resized to the exact dimensions specified in the NEW_SIZE variable.
• It will process all images in the INPUT_FOLDER that have .jpg, .jpeg, or .png extensions.

This script is free to use under the MIT License.