image_batch_resizer.py

from PIL import Image  # Pillow library for image processing
import os              # work with files and folders

# Folder containing your images
input_folder = os.path.expanduser("~/Downloads")  # change if needed

# Folder to save resized images (keeps originals safe)
output_folder = os.path.join(input_folder, "resized")
os.makedirs(output_folder, exist_ok=True)

# Desired max width (height will adjust automatically)
max_width = 800

# Go through all files in the folder
for filename in os.listdir(input_folder):

    input_path = os.path.join(input_folder, filename)

    # Skip folders
    if os.path.isdir(input_path):
        continue

    # Only process image files (basic check)
    if not filename.lower().endswith((".jpg", ".jpeg", ".png", ".webp")):
        continue

    try:
        # Open the image
        with Image.open(input_path) as img:

            # Get current size
            original_width, original_height = img.size

            # Calculate new height to keep aspect ratio
            new_height = int((max_width / original_width) * original_height)

            # Resize the image
            resized_img = img.resize((max_width, new_height))

            # Save resized image to output folder
            output_path = os.path.join(output_folder, filename)
            resized_img.save(output_path)

            print(f"Resized: {filename} → {max_width}x{new_height}")

    except Exception as e:
        print(f"Error processing {filename}: {e}")