Ideal inputs
Upload the least-compressed source available and keep the subject inside the frame; one image is accepted and no pixelation-strength control is exposed.
Focused AI image workflow
Unpixelate Image
Try a general upscale pass on a pixelated image when the composition is usable but the blocky presentation needs improvement.
How to use it
1
Choose the source
Use the original file instead of a screenshot or repeated export so the workflow has the most real structure to inspect.
2
Run Crisp Upscale
Submit the image through the fixed upscale workflow; the page does not provide a manual pixel-repair mask.
3
Check reconstructed edges
Inspect faces, diagonals, small type, repeated patterns, and flat-color boundaries at 100%.
Useful for
- Improve a small web graphic
- Prepare a pixelated archive image for viewing
- Clean a thumbnail before a larger layout placement
Expected result
The workflow can return a cleaner, larger presentation of a pixelated image when the source still contains useful structure.
Limitations to review
It cannot recover the original pixels or guarantee exact details hidden by severe pixelation. Fine text and faces may be reinterpreted.
Frequently asked questions
Can it recover the original hidden detail?
No. It estimates plausible detail from the source and cannot guarantee recovery of information lost to pixelation.
Is there a manual pixelation mask?
No. This page runs the fixed upscale workflow on one image without a region-specific repair control.