This script recursively converts JPEG, JPG, and PNG images in the current directory to WebP format, adjusting the quality to ensure each file remains under 1 MB in size.

bulk2webp.py

import os
from PIL import Image

source_folder = os.getcwd()
target_folder = os.path.join(source_folder, "webp_converted")

if not os.path.exists(target_folder):
    os.makedirs(target_folder)

max_file_size = 1 * 1024 * 1024

def convert_images_to_webp(source_folder, target_folder):
    for root, _, files in os.walk(source_folder):
        for file in files:
            if file.lower().endswith(('.jpeg', '.jpg', '.png')):
                source_path = os.path.join(root, file)
                target_path = os.path.join(target_folder, os.path.splitext(file)[0] + ".webp")
                try:
                    with Image.open(source_path) as img:
                        if img.mode in ('RGBA', 'LA') or (img.mode == 'P' and 'transparency' in img.info):
                            img = img.convert("RGBA")
                        else:
                            img = img.convert("RGB")
                        
                        quality = 90
                        img.save(target_path, "webp", quality=quality)
                        
                        while os.path.getsize(target_path) > max_file_size:
                            quality -= 5
                            if quality < 5:
                                print(f"Warning: {target_path} could not be compressed under 1 MB.")
                                break
                            img.save(target_path, "webp", quality=quality)
                        
                    print(f"Converted: {source_path} -> {target_path} (Final quality: {quality})")
                except Exception as e:
                    print(f"Error converting {source_path}: {e}")

convert_images_to_webp(source_folder, target_folder)
print("All images have been converted and saved in the target folder.")