What this tool actually does — and what it does not
Worth being direct, because there is a lot of misleading marketing around this topic. This tool performs image restoration of the smoothing kind: it upscales with high-quality interpolation, removes the hard block edges that pixelation creates, then applies an edge-aware unsharp mask so the result does not look like a blurry smear.
It does not invent detail. If a face in your photo is 12 pixels wide, no algorithm running in a browser can reconstruct a real face — that needs a trained neural reconstruction model, which cannot run privately and instantly on your device. Anyone promising otherwise is showing you a demo that generated a plausible-looking stranger.
What it genuinely fixes
- JPEG block artefacts. The 8×8 grid you see in heavily compressed images. This is where the tool shines.
- Upscaled screenshots. Text and UI elements that turned into staircases.
- Thumbnails blown up for print. Softens the pixelation so a small print looks acceptable.
- Game and retro captures. Smooths the hard blocks while keeping the composition.
- Colour banding and dithering. Large flat areas get much cleaner.
Choosing your settings
| Control | Effect | Sensible range |
|---|---|---|
| Upscale factor | How much larger the output is. | 2x for print, 3x for screens |
| Block smoothing | How hard the square edges are erased. | 40–70% |
| Detail recovery | Unsharp mask that restores perceived crispness. | 30–60% |
Practical workflow
- Start with a 2x upscale and 50% smoothing. Look at a textured area, not a flat one.
- Raise Detail recovery until edges snap back.
- If blocks reappear, nudge smoothing up by 10%.
- Export as PNG so the smoothing is not re-compressed away.