How does AI upscaling differ from normal resizing?

Normal resizing stretches existing pixels, which makes images blurry. AI upscaling uses a neural network (Real-ESRGAN) trained on millions of images to reconstruct plausible detail — edges stay sharp, textures are rebuilt, and the result looks like a genuinely higher-resolution photo.

Is my image uploaded to a server?

No. The AI model runs in your browser via WebAssembly. Your image is processed tile by tile on your own device and never leaves it — no upload, no queue, no account.

Why does the first run download ~67 MB?

That download is the Real-ESRGAN neural network itself — the full model, not a lite version. Your browser caches it, so it only happens once; after that, upscaling starts immediately.

How long does upscaling take?

It depends on your device and image size — the image is processed in small tiles with a progress bar. A 500×500 photo takes a couple of minutes on a typical laptop; larger images take proportionally longer. Keep the tab open while it works.

Why is there a size limit on input images?

A 4× upscale multiplies pixel count by 16 — a 1600×1600 input already produces a 6400×6400 output, near what browsers can hold in memory. Larger photos are usually already high-resolution; if you need one section enlarged, crop it first and upscale the crop.

What images benefit most from upscaling?

Small photos you need bigger: old low-resolution pictures, images saved from the web, thumbnails, game textures, small product shots and logos saved as photos. Heavily compressed images upscale less cleanly, since the AI also magnifies compression artifacts.

Can it upscale anime or artwork?

Yes — this general-purpose model handles artwork reasonably well, keeping line edges crisp. Dedicated anime models can do slightly better on flat-colour art, but for mixed content the general model is the safer choice.

AI Image Upscaler (4×)

Enlarge photos 4× with Real-ESRGAN AI running locally in your browser — no uploads, no watermarks.

Files never leave your device Instant — no upload waitFree, no sign-up

Upscale Multiplier

Choose an image or drag & drop it hereJPG, PNG or WebP up to 1600×1600 px · AI runs in browser (GPU accelerated when available)

or import from

Make small images 4× bigger — and actually sharper

Enlarging a photo the normal way just makes blur bigger. This tool runsReal-ESRGAN, a state-of-the-art super-resolution neural network, directly in your browser: it reconstructs edges and textures as it enlarges, turning a 400×300 image into a crisp 1600×1200 one. No uploads, no watermarks, no credits — your device does the work, so we don’t have to charge for GPU time.

Know before you click: the honest trade-offs

Two things to expect. First, the initial run downloads the neural network itself —about 67 MB, once — after which it’s cached. Second,browser AI is slower than server GPUs: the image is processed in tiles with a live progress bar, and a mid-size photo takes a couple of minutes on a typical laptop. The trade is privacy and zero cost for a bit of patience.

Where it shines

Rescuing old low-resolution photos, enlarging web images and thumbnails for print or presentations, sharpening small product shotsfor listings, and upsizing screenshots and artwork. Because the AI also magnifies whatever it finds, a clean source gives a clean result — heavily compressed JPGs will show enlarged artifacts, so start from the best copy you have.

Pairs well with

Upscaled PNGs are large — shrink the file (not the pixels) with theImage Compressor before sharing. Cutting the subject out afterwards? The Background Remover runs on-device too. And if your source is an iPhone HEIC, convert it first with HEIC to JPG.

Frequently Asked Questions

How does AI upscaling differ from normal resizing?
Normal resizing stretches existing pixels, which makes images blurry. AI upscaling uses a neural network (Real-ESRGAN) trained on millions of images to reconstruct plausible detail — edges stay sharp, textures are rebuilt, and the result looks like a genuinely higher-resolution photo.
Is my image uploaded to a server?
No. The AI model runs in your browser via WebAssembly. Your image is processed tile by tile on your own device and never leaves it — no upload, no queue, no account.
Why does the first run download ~67 MB?
That download is the Real-ESRGAN neural network itself — the full model, not a lite version. Your browser caches it, so it only happens once; after that, upscaling starts immediately.
How long does upscaling take?
It depends on your device and image size — the image is processed in small tiles with a progress bar. A 500×500 photo takes a couple of minutes on a typical laptop; larger images take proportionally longer. Keep the tab open while it works.
Why is there a size limit on input images?
A 4× upscale multiplies pixel count by 16 — a 1600×1600 input already produces a 6400×6400 output, near what browsers can hold in memory. Larger photos are usually already high-resolution; if you need one section enlarged, crop it first and upscale the crop.
What images benefit most from upscaling?
Small photos you need bigger: old low-resolution pictures, images saved from the web, thumbnails, game textures, small product shots and logos saved as photos. Heavily compressed images upscale less cleanly, since the AI also magnifies compression artifacts.
Can it upscale anime or artwork?
Yes — this general-purpose model handles artwork reasonably well, keeping line edges crisp. Dedicated anime models can do slightly better on flat-colour art, but for mixed content the general model is the safer choice.