How do I increase image size without losing quality?

Strictly, you cannot, because enlarging has to invent pixels that were never captured. What you can do is start from the largest original you have rather than a compressed copy, keep the enlargement modest (up to around 150 percent is hard to fault), avoid upscaling text or logos at all, and never enlarge an already-enlarged file. Very often the real fix is finding a bigger source rather than upscaling a small one.

Why does my image look blurry after resizing?

Usually one of three things: you enlarged rather than shrank, you resized a copy that was already compressed, or you saved as JPG at a low quality setting. The resize itself is rarely the culprit when you are making an image smaller.

Does resizing to fewer pixels lose quality?

It removes detail you can no longer recover, but at normal viewing size the result usually looks as sharp as the original or sharper, since downscaling averages out noise along with everything else. The visible loss comes from the export format and quality setting, not the pixel reduction.

Is it better to resize or crop?

They do different jobs. Resizing keeps the whole picture and changes its dimensions; cropping keeps the dimensions you want and discards the parts outside them. If you need a fixed shape and do not want anything squashed, crop to the shape and then resize.

Which format keeps the most quality?

PNG and WebP in lossless mode keep everything, at the cost of file size. JPG discards detail by design but at a quality setting around 80 the difference is hard to see on a photograph. Saving an already-compressed image as PNG does not undo the earlier loss.

How to Resize an Image Without Losing Quality

Resize it here, then read what actually costs you quality and what does not.

Drop an image hereor click to choose a file. JPG, PNG, WebP, or GIF.

Nothing is uploaded. Your image is resized right here in your browser and never leaves your device.

The short version

Shrinking an image can be genuinely lossless-looking. Enlarging cannot, because the extra pixels have to be invented. Most of what people call "quality loss" is not the resize at all, though. It is the format, the quality setting, or saving the same file over and over.

Drop an image into the tool above and it resizes in your browser, so the file never leaves your device and never passes through a re-compression step on a server.

Shrinking: where "no quality loss" is real

If your source is 4000 by 3000 pixels and you need 1280 by 960, you are throwing pixels away, and the result stays sharp. Downscaling averages neighbouring pixels together, which is why a shrunk photo often looks cleaner than the original: sensor noise averages out along with everything else.

Two things to get right:

Go straight to the target size. Resizing 4000 to 2000 to 1280 in separate saves costs you more than going to 1280 in one step, because each save re-compresses.
Do not sharpen before you shrink. Sharpen after, if at all. Sharpening halos get scaled down into crunchy edges.

Enlarging: what actually helps

This is the half most guides wave away, and it is what a lot of people are actually trying to do. You cannot recover detail that was never captured. But there is a real difference between a bad enlargement and the best one available to you.

Find a bigger original first. This solves the problem more often than any technique. The photo in your messaging app is a compressed copy; the one in your camera roll is usually several times larger. A screenshot of an image is always worse than the image. Check the source before you upscale anything.

Enlarge modestly. Up to about 150 percent, a good upscale is hard to fault at normal viewing distance. At 200 percent it is visible if you look. Past 400 percent it is soft no matter what you use. If you need a specific print size, work out whether you actually need those pixels: prints are usually fine at 150 ppi at arm's length, not the 300 ppi people quote for things held close.

Match the enlargement to the content. Photographs tolerate upscaling reasonably well because their detail is already soft and continuous. Text, logos, and line art fall apart quickly, because what makes them look right is hard edges and those are exactly what interpolation blurs. For a logo, do not upscale at all. Find the vector file, or the person who made it.

Do not stack upscales. Enlarging an enlargement compounds the softness. Go back to the original and do it once.

An honest limit: this tool does browser-native resampling, which is fast, private, and predictable. It does not do AI upscaling, the kind that guesses plausible detail and paints it in. Those tools can look impressive on faces and textures, and they also invent things that were never there, which matters if the image is evidence, a document, or a product photo.

Keep the aspect ratio

Stretching an image to a shape it was not shot in is the fastest way to make it look wrong. Keep "lock aspect ratio" on so the width and height stay in proportion. When a target shape is fixed, like a YouTube thumbnail at 1280 by 720, use the preset with "cover" so the image fills the frame and the overflow is cropped instead of squished.

Pick the right format

This is where most real quality loss happens, not in the resize.

JPG is best for photos. It is small and universally accepted, but it is lossy, so avoid saving the same JPG over and over.
PNG is lossless and keeps transparency. Great for logos, screenshots, and graphics with sharp edges, but larger for photos.
WebP gives you PNG-like quality or JPG-like photos at a smaller size. Use it when file size matters and your destination supports it.

One trap worth naming: saving a photo as PNG does not restore quality it already lost. It just stores the existing damage losslessly, in a bigger file.

Control quality instead of guessing

When you save a JPG or WebP, the quality slider decides how much detail is kept. Somewhere around 80 is usually indistinguishable from the original while cutting the file size a lot. If you have a hard size limit, the Target KB mode finds the highest quality that still fits, which beats guessing a number.

One export, not five

Every time you re-save a JPG it loses a little more. Do your resizing and cropping, then export once. If you think you will need the image again later, keep the original file and re-export from it rather than from a compressed copy.

This is the single most common cause of an image that has quietly gone to mush: not one bad resize, but six rounds of open, tweak, save.

Frequently asked questions

How do I increase image size without losing quality?: Strictly, you cannot, because enlarging has to invent pixels that were never captured. What you can do is start from the largest original you have rather than a compressed copy, keep the enlargement modest (up to around 150 percent is hard to fault), avoid upscaling text or logos at all, and never enlarge an already-enlarged file. Very often the real fix is finding a bigger source rather than upscaling a small one.
Why does my image look blurry after resizing?: Usually one of three things: you enlarged rather than shrank, you resized a copy that was already compressed, or you saved as JPG at a low quality setting. The resize itself is rarely the culprit when you are making an image smaller.
Does resizing to fewer pixels lose quality?: It removes detail you can no longer recover, but at normal viewing size the result usually looks as sharp as the original or sharper, since downscaling averages out noise along with everything else. The visible loss comes from the export format and quality setting, not the pixel reduction.
Is it better to resize or crop?: They do different jobs. Resizing keeps the whole picture and changes its dimensions; cropping keeps the dimensions you want and discards the parts outside them. If you need a fixed shape and do not want anything squashed, crop to the shape and then resize.
Which format keeps the most quality?: PNG and WebP in lossless mode keep everything, at the cost of file size. JPG discards detail by design but at a quality setting around 80 the difference is hard to see on a photograph. Saving an already-compressed image as PNG does not undo the earlier loss.