Image Upscaler
Enlarge and enhance images 2x with AI super-resolution. Runs in your browser, no upload.
Upscaling enlarges a small or low-resolution image to roughly twice its width and height while keeping edges crisp and adding plausible fine detail, instead of the soft, blocky stretch you get from a normal resize. An AI super-resolution model was trained on millions of low-res/high-res image pairs, so it has learned what sharp edges, textures, and small features usually look like and reconstructs them as it scales up.
Like the rest of the site, this runs in your browser. The model downloads once on first use, gets cached, and then processes images locally on your device with nothing uploaded. That keeps private photos, screenshots, and work images on your own machine.
Drop an image to upscale 2×
AI super-resolution · runs in your browser · best on images under ~1500px
🔒 100% Browser-Based
Your image is processed entirely in your browser. Nothing is uploaded. Verify in DevTools → Network tab — zero outbound traffic with file content.
About Image Upscaler
Enlarge and enhance images 2× using an AI super-resolution model that runs entirely in your browser — no upload, no subscription. Sharpens edges and recovers detail far better than plain stretching. Best on images under ~1500px.
How to use the Image Upscaler
- 1
Open the upscaler
On your first visit the super-resolution model downloads once and caches. You'll see a short load; after that it's ready immediately on later visits, even without a connection.
- 2
Add the image you want to enlarge
Drag in a JPG, PNG, or WebP. Upscaling helps most with images that are genuinely small or low-resolution, such as an old thumbnail, a tiny logo, or a cropped detail.
- 3
Run the upscale
The AI reconstructs a ~2x larger version, inferring edges and texture as it goes. This is compute-heavy and runs on your hardware, so larger images take longer, especially on phones or older laptops.
- 4
Compare and download
View the result at 100% to judge the real detail, then save it. If you need more than 2x, upscale once, review it, and only run it again if the first pass still looks clean.
What AI upscaling can and can't do
The honest limit: upscaling cannot recover detail that was never captured. If a face is six pixels wide, the true identity isn't in the file and no model can retrieve it. What AI super-resolution does is estimate plausible detail. Trained on huge collections of real images, it predicts what the sharper version most likely looked like and fills it in, so edges get clean, text gets more legible, and textures look believable rather than mushy.
That's why ~2x is the sweet spot. At 2x the model has enough real pixels to anchor its predictions, so the result looks like a genuinely higher-resolution photo. Push to 4x, 8x, or "infinite" and you're increasingly asking it to invent, so faces can take on a smooth, waxy AI look and fine textures can turn into invented patterns. Treat upscaling as intelligent enhancement, not a forensic zoom from a crime drama.
Good and bad candidates for upscaling
It works best on clean low-resolution images: a small but in-focus product photo, a logo or icon you need bigger, a screenshot, line art, or an old digital photo that's simply small. In these cases the AI sharpens edges and rebuilds texture convincingly.
It works worst on images that are already degraded in ways the model can mistake for detail: heavy JPEG compression artifacts (it may sharpen the blocky noise), strong motion blur, or photos already enlarged once before. Compression artifacts in particular get "enhanced" along with everything else, so start from the highest-quality original you have rather than a screenshot of a screenshot.
Quick tips
- ✓Start from the best original you have. Upscaling a file that was already compressed or resized multiplies its flaws.
- ✓Stick to about 2x for natural results. If you need bigger, upscale, inspect at 100%, then optionally run a second pass rather than asking for a huge jump at once.
- ✓Judge quality at 100% zoom, not zoomed out. AI estimation looks great shrunk to fit a screen but its weaknesses show at full size.
- ✓For faces, watch for a smooth, plastic texture. That's the model inventing skin detail; a gentler upscale usually looks more believable.
- ✓Because it runs on your device, large images can be slow on phones. Use a desktop or laptop for big jobs, and close other heavy tabs while it works.
Frequently asked questions
Is my image uploaded?
No. The AI model runs locally in your browser. Only the model weights download once on first use; your image never leaves your device.
Why does the first run take a while?
The model downloads once, then upscaling runs on your device. Larger images take longer and use more memory.
What size images work best?
Images under about 1500px on the long edge. Very large images can be slow or run out of browser memory — resize down first if needed.
Can this make a blurry photo perfectly sharp?
Not perfectly. It estimates plausible detail based on what it learned from millions of images, which makes results look much sharper, but it can't recover information that was never in the original file. The blurrier and lower-resolution the source, the more it's guessing.
How much bigger can I go?
Around 2x is the reliable sweet spot where it looks natural. Higher multiples force the model to invent more, which can produce smooth, artificial-looking areas, so larger enlargements trade realism for size.
Is my image uploaded to enlarge it?
No. The model downloads once to your browser and then runs locally on your device. Your image stays with you and the tool works offline after that first download.