Resize without losing the shape
Leave one dimension empty to keep the original proportions automatically. Choose Fit inside to keep the whole picture, or Crop to fill to get an exact size with the edges trimmed.
How the resize actually works
Our engine uses Sharp, a fast, reliable image processing library, to carry out the resize. Before resizing, it automatically reads and applies your photo's embedded rotation data, so a photo that would otherwise display sideways comes out correctly upright in the resized result. The resize itself happens in a single pass at a high-quality setting, so you get a clean, sharp result rather than a blurry approximation.
Common sizes
Social media posts, email headers, product listings and form uploads all ask for specific pixel sizes. Enter the size the website asks for and download the result.
The three fit options explained
- Fit inside - the whole image is scaled down to fit within your width and height. Nothing is cut off, so one side may come out smaller than you typed.
- Crop to fill - the image fills your exact width and height, and any extra on the edges is trimmed. Best for profile pictures, thumbnails and banners.
- Stretch - the image is forced to your exact size, even if that changes its proportions. Only use this when the shape does not matter.
Why the right fit option matters so much
Choosing the wrong fit option is the most common reason a resized image looks worse than expected, not any flaw in the resizing itself. A photo of a person stretched to an unrelated aspect ratio can look visibly distorted, while the same photo resized with "Crop to fill" instead keeps proportions correct and simply trims the parts of the frame that don't fit, which usually looks far more natural for things like profile pictures and banners where an exact size is required but content proportions still matter.
Enlarging versus shrinking
Shrinking an image down to smaller dimensions works extremely well, since there's more detail in the original than the smaller size needs, and the resize simply discards the excess. Enlarging works differently: since no new detail actually exists beyond what the original image already captured, the resize has to interpolate - essentially estimating what the missing pixels should look like - which is why a significant enlargement can look noticeably softer than the original, especially past roughly double the source size.
Pixels, file size and format
Resizing changes the number of pixels, which usually makes the file smaller too. If a website asks for a file size limit in KB rather than pixels, resize first and then use our Image Compressor. You can keep the original format or save as JPG, PNG or WebP - choose PNG for logos and screenshots with sharp edges, and JPG or WebP for photos. Sizes up to 6000 pixels on each side are supported.
Who actually needs this, and why
Online sellers resizing product photos to the exact dimensions a marketplace listing requires. Social media managers preparing images for platforms with specific recommended pixel sizes for posts, covers, and banners. Website owners and bloggers resizing images to match their site's actual display width, which both looks correct and loads faster than serving an unnecessarily large original. Anyone who needs a photo at a specific pixel size for a form, application, or document template.
Privacy
Your image is processed on our servers over an encrypted connection and deleted automatically after processing. There's no account required and no watermark added to the result.
Choosing an output format
Keeping your original format is usually the safest default, since it preserves whatever characteristics - transparency, compression style - the file already had. PNG is the right choice specifically when transparency matters, or when the image contains sharp text or line art that needs to stay perfectly crisp. JPG and WebP suit photographs well, since their compression approaches are built around smooth, continuous-tone content rather than sharp edges, and WebP in particular tends to produce the smallest file of the three at a comparable visual quality.
Working with a batch of images at different target sizes
If you need several images resized to different specific dimensions - say, one set of product photos at one size and another set at a different size for a different listing type - running each batch through separately with its own width and height values ensures each group comes out exactly matching its own specific requirement, rather than trying to find one universal size that compromises for every destination at once.
A quick check after resizing
Once downloaded, it's worth a quick look to confirm the result matches what you expected, especially if you used "Crop to fill" or "Stretch" - a crop can occasionally trim more of an important detail than intended if the original composition wasn't centered the way the fit option assumes, and a stretch can look distorted if the aspect ratio change was more dramatic than planned. Catching this immediately is far faster than discovering it after the image has already been uploaded somewhere else entirely.
The 6000-pixel limit
This tool supports target dimensions up to 6000 pixels on each side, which comfortably covers every common web, print, and form use case, including large banner images and high-resolution print layouts. If your original source image is smaller than your target dimensions, keep in mind that enlarging past the original's actual resolution runs into the same softening limitation described above - the 6000-pixel ceiling is about what this tool can output, not a guarantee that enlarging that far will look sharp if your source material doesn't have that much real detail to begin with. Starting from the highest-resolution original you have access to always gives the best possible result at any target size you end up choosing to resize the image to.
Batch resizing with the same settings
If you have several images that all need to go to the exact same width, height, and fit option, running each one through with the same settings applied consistently ensures every image in the set ends up matching, which matters for things like a product gallery or a set of social posts where visual consistency across the whole group counts just as much as any single image looking right on its own.