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Add Padding to Images in Bulk

Resize images to a target canvas size by adding padding instead of cropping. Choose any background color.

1. Upload images

Drop images here or click to browse

JPEG, PNG, WebP, GIF, TIFF, AVIF — up to 10 files, 20 MB total

2. Configure settings

Free plan: up to 10 images per batch. Upgrade for more.

What this tool does

Make any set of images fit a consistent canvas size without cropping or distorting them. PixelForge's bulk padding tool resizes each image to fit within your target dimensions and fills the remaining space with a solid background color. This is the opposite of cropping — the full image is preserved and letterboxed to your target size. Ideal for product photos that need consistent square dimensions.

Problems it solves

  • Making non-square product photos fit a square canvas with a white background
  • Standardizing mixed portrait and landscape images to the same dimensions
  • Adding a colored border around images for a consistent look
  • Preparing images for a platform that requires exact dimensions without cropping

Example

Pad 200 mixed-orientation product photos to 1000×1000px with white background

Frequently asked questions

What is the difference between padding and cropping?

Padding (letterboxing) adds space around the image to reach the target size — nothing is cut off. Cropping removes the edges to reach the target size. Use padding when you need to preserve the full image.

Can I use a transparent background?

You can set the background to any solid color. For transparent backgrounds, use PNG or WebP output, and use #00000000 or simply keep the output as PNG — Sharp will use transparency automatically when outputting PNG with no background specified.

Will the image be centered in the canvas?

Yes — the original image is centered within the target canvas. The padding is distributed equally on both sides (horizontal or vertical, depending on the image orientation).

Does padding change the image content?

No. Padding only adds empty space around the original image. The original pixels are unchanged.