Padding rather than cropping to reach a frame
When the edges matter — a diagram, a screenshot, a caption — padding keeps them where a crop would remove them. Match the fill to the destination background for an invisible margin.
Padding grows the canvas rather than covering the picture: every original pixel survives and a band of background is added around it. Set the thickness and the fill here — the same operation supplies the margin a near-square product photo needs to reach a true square.
Padding enlarges the canvas and leaves the image alone; a border is drawn over the image's own outer pixels and keeps the size.
Yes, in a format that carries alpha — PNG or WebP rather than JPEG, which fills with a solid colour.
The result is downloaded as a separate file. Keep your original until you have checked the Padded canvas.
Open the Padded canvas in the application that consumes it and spot-check the parts that matter to you; the original file stays untouched if you need to re-run with different options.
When the edges matter — a diagram, a screenshot, a caption — padding keeps them where a crop would remove them. Match the fill to the destination background for an invisible margin.
Open the Padded canvas next to the original at full size and check text edges, faces, and flat backgrounds; re-encoding softens detail long before it looks wrong in a thumbnail.
Use this tool when an image needs to fit a fixed canvas but the original picture should remain visible. The tool scales the image into the target width and height, then fills the unused space with the background color you choose. This is useful for square product images, profile pictures, thumbnails, and social media layouts where cropping would remove important details.
The output dimensions are exact pixel dimensions. The added area becomes part of the new canvas, so the downloaded file has the size you entered even when the source image has a different shape.
Cropping works well when the subject can lose some of the edges. Padding is safer for product photos, screenshots, logos, documents, and portraits where the full frame matters. A neutral background can also make a mixed set of images look more consistent without changing the source composition.
Image processing happens in your browser. The page creates the result with the Canvas API and downloads it to your device. The tool does not need an image upload endpoint for this workflow. Keep the browser tab open until the download finishes, especially when processing several large images.
The Keep whole image option fits the complete image inside the target canvas. Any unused area is filled with the selected background color. Use Crop to fill only when you accept trimming the edges.
Yes. Select multiple supported image files, apply the same canvas settings, and download the results as a ZIP archive.
Yes. The canvas uses the target width and height in pixels. Check the preview and the downloaded file before submitting it to a platform with its own image rules.