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Enlarge an image 2x, 3x or 4x

Make a small image bigger with smooth interpolation instead of a blocky stretch. Honest about what it is: it cleans up the enlargement, it does not invent detail an AI would. Runs in your browser.

Runs in your browser 2x, 3x or 4x Smooth, not blocky
How to use it

Enlarge an image in three steps

Every screenshot below is this exact tool doubling a real photo from 1056 to 2112 pixels wide.

1

Drop your image in

Drag one photo or a whole folder onto the box, or click to choose files. It loads instantly and stays on your device.

The upscaler with a 1056 by 710 photo loaded
A 1056 by 710 photo loaded and ready.
2

Choose how much to enlarge

The default is 200 percent, which doubles the width and height and looks best. You can go up to 400 percent, but for a big jump, running 200 percent twice usually gives cleaner edges.

The upscale step set to 200 percent and highlighted
Set to 200 percent.
3

Upscale and download

Hit Upscale and the result row shows the new dimensions and file size. Download the single file, or a whole batch as one ZIP.

The result row showing the photo enlarged to 2112 by 1420 pixels
Doubled to 2112 by 1420 pixels.
Be realistic

What upscaling can and cannot do

Enlarging an image means the tool has to fill in pixels that were never captured. It does this with interpolation: it looks at the real pixels around each new one and averages a smooth value between them. That removes the harsh, blocky look of a stretched image and gives you clean, smooth edges.

What it cannot do is invent detail. If a face was too small to show its features in the original, no amount of enlarging will reveal them, because that information was never there. Upscaling makes an image bigger and smoother, not sharper or more detailed.

This is a deliberate choice. AI upscalers guess at plausible detail with a neural network, which is slower, needs an upload, and sometimes fabricates features that were never in the photo. This tool stays honest: it is instant, private, and it never makes anything up.

Honest limits

What this tool will not do

It will not recover lost detail

A blurry or tiny source comes out cleaner and smoother, not magically sharp. The detail that was never captured cannot be brought back, by this tool or any other honest one.

Big enlargements soften

The further you push past 200 percent, the softer the result, because there are more invented pixels between each real one. Two passes of 200 percent usually beat a single 400.

Very large sources can hit memory limits

Enlarging multiplies the pixel count fourfold at 200 percent, so a huge photo can exhaust browser memory. If one fails, downscale it slightly first and try again.

FAQ

Frequently asked questions

Will upscaling make a blurry photo sharp?

It will look smoother and less pixelated, but it cannot bring back detail that was never captured. Enlarging guesses the in-between pixels; it does not add real information. For a genuinely blurry source, expect a cleaner version, not a magically sharp one.

How is this different from an AI upscaler?

AI upscalers invent plausible detail with a neural network, which is slower, needs an upload, and sometimes fabricates features that were not there. This tool uses fast, honest interpolation in your browser: instant, private, and it never makes things up.

Which scale should I pick?

200 percent, the default, is the safe choice and looks best. You can go up to 400 percent, but for a big jump, running 200 percent twice usually gives cleaner edges than a single 400.

What is the largest image I can upscale?

There is no fixed cap, but upscaling multiplies the pixel count by four at 200 percent, so a very large source can hit browser memory limits. If a huge photo fails, downscale it slightly first and try again.

Are my images uploaded anywhere?

No. Upscaling runs in your browser through the Canvas API. Your file never leaves your device.

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