How to Resize Images in Bulk (3 Methods)

Method 1: Using PixelForge (fastest)

PixelForge is the fastest way to resize images in bulk (3 methods) without installing any software.

1. Select your images in File Explorer or Finder and create a ZIP file.
2. Go to Bulk Image Resize Online.
3. Drop your ZIP file into the upload zone (or click to browse).
4. Configure your settings in the settings panel.
5. Click Process and wait for processing to complete.
6. Click Download ZIP to save your processed images.

Best for: Anyone who wants results in under a minute without writing code or buying software.

Method 2: Using Photoshop

Adobe Photoshop's Image Processor (File → Scripts → Image Processor) lets you batch-process images with full quality control, but requires a Photoshop license.

1. Open Photoshop and go to File → Scripts → Image Processor.
2. Select the folder containing your source images.
3. Choose your output folder and format settings.
4. Click Run to process all images.

Best for: Users who already have Photoshop and need precise control over color profiles and metadata.

Method 3: Python (Pillow/PIL)

Python with the Pillow library gives you full programmatic control and is free, but requires coding knowledge.

from PIL import Image
import os

input_dir = "./images"
output_dir = "./output"
os.makedirs(output_dir, exist_ok=True)

for filename in os.listdir(input_dir):
    if filename.lower().endswith(('.jpg', '.jpeg', '.png', '.webp')):
        img = Image.open(os.path.join(input_dir, filename))
        # Add your processing here
        img.save(os.path.join(output_dir, filename), quality=80)

print("Done!")

Best for: Developers who need to automate image processing as part of a larger workflow or CI/CD pipeline.