AI Image Upscaler

About the AI Image Upscaler

The AI Image Upscaler enlarges a photo and rebuilds detail that a plain resize would leave blurry. Drop a JPG, PNG, or WebP and a convolutional super-resolution neural network running directly in your browser reconstructs sharper edges and finer texture, then hands you a larger image you can download as PNG or JPG.

The whole process happens on your device. Your image is never uploaded, never queued on a server, and never logged. The model itself downloads once (about 230 KB) and then runs locally on every image after that, so it keeps working offline once cached and stays private by construction.

What you can control

• Image in. Drag and drop or browse — JPG, PNG, and WebP are all supported. The tool shines on small thumbnails, old low-resolution photos, screenshots, logos, and product shots that need to be bigger.
• Scale out. Pick 2×, 3×, or 4×. The neural network does the heavy lifting once; switching between scales is instant because the AI result is cached and only re-fit to the size you choose.
• Side-by-side preview. The original and the upscaled result render next to each other so you can judge the gain before downloading. The full-resolution file is always larger than the on-screen preview — use Open full size to inspect every pixel.
• PNG or JPG. Download a lossless PNG (keeps transparency) or a smaller JPG. Transparent areas in a PNG are preserved through the upscale.

How it works

• The image is split into overlapping tiles, and the network predicts a higher-resolution version of each tile’s luminance. The tiles are feathered back together so seams stay invisible, and color is upscaled alongside.
• Because everything runs on the CPU through WebAssembly, larger images take longer — a small image is near-instant, while a few-megapixel photo processes tile by tile with a live progress count.
• Very large inputs are processed at up to roughly 1100 pixels on the long edge internally, then fit to your chosen output size, which keeps memory and time reasonable on everyday hardware.

Common uses

• Enlarge a small product photo or marketplace image so it fills a listing without looking pixelated.
• Rescue a low-resolution logo, avatar, or old scan that needs to be printed or placed at a larger size.
• Bump a screenshot or thumbnail up before dropping it into a slide deck or a document.
• Give a phone snapshot more apparent detail for a print, a card, or a poster.

Tips

• The first image you process triggers a one-time ~230 KB model download plus the WebAssembly runtime; every image after that starts quickly because both are cached by your browser.
• Super-resolution reconstructs plausible detail — it cannot invent text or faces that were never captured. Clean, mildly soft inputs upscale best; heavily compressed or noisy images carry their artifacts along.
• Keep the output as PNG when the image has transparency or sharp graphics; choose JPG for photographs where a smaller file matters.
• Need to crop, shape, or compress the result afterward? Run it through the Image Cropper or Image Compressor next.

Everything works without an account, without a watermark, and without uploading your photo to a server you do not control.

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