Unpixelate AI

Unpixelate AI is an online tool focused on image depixelation and sharpening, built on generative super resolution. Unlike traditional enlargement algorithms that simply stretch pixels, it uses a diffusion network to generate the most likely matching high resolution clear image based on the pixelated input. That network has learned the high resolution appearance of edges, fabrics, leaves, and skin from hundreds of millions of photos, which is why its reconstructions look believable rather than artificially smooth. Standard quality processing is free and can be used without registration, while the HD level, which uses a stronger model, is available by logging in to get daily credits or paying as needed. Face enhancement is included in both processing levels, and the platform emphasizes privacy: uploaded images are processed in memory and automatically deleted without being used for training.

- Convert blurry, pixelated, or low resolution photos, such as face photos, old photos, and screenshots, into clear sharp images.

- Enlarge images by 4 times while keeping details and avoiding blurring or blocky artifacts.

- Restore old photos that have faded or suffered scratches, bringing back faces, details, and colors.

- Make text in blurry screenshots clearly readable, and even pixelate images yourself to hide details or create pixel style art.

- Social media users whose avatars and thumbnails look soft at low resolution and want them crisp.

- Old photo collectors dealing with fading, scratches, and low resolution scans.

- Gamers and developers who want to enlarge game screenshots and pixel art for wallpapers or walls.

- Office workers handling compressed JPEG downloads with blocky distortion or needing readable screenshot text.

The free tier covers standard quality only; HD level processing requires an account with daily credits or payment, and free rules and credit policies may change over time, so check the current terms. File uploads are capped at 10MB, so very large originals must be resized first. Because the model generates plausible detail rather than recovering the true original, reconstructions of faces or text are approximations and should not be treated as forensic evidence. That generative nature also means results can occasionally invent details that were never present, so review important images carefully.