Portrait Restore
Use this when faces, hair edges, and skin transitions are the most important details to clean up without changing identity.
AI Unpixelate Image
AI unpixelate image tool to depixelate photos, fix pixelated images, and restore image clarity with super resolution.
Pixelated inputs repaired for everyday reuse - portraits, screenshots, products, documents, logos, and old family images. The edits reduce blockiness and sharpen edges while keeping the original crop, subject, and visual intent easy to compare.















— Chapter 01 —
Unpixelate Image is a pixelated photo enhancer for low-resolution photos, screenshots, product crops, logos, thumbnails, and old exports that picked up visible square blocks. People use it to depixelate image files, fix pixelated image problems, and restore image clarity when the subject is still recognizable but the detail is too rough for reuse in a profile, archive, marketplace listing, slide deck, or social post.
It also explains the boundary between unpixelate, upscale, and unblur. Unpixelate focuses on blocky compression and depixelation, while upscale is mainly about enlarging the image and can be used as part of the same workflow. Unblur is different again: it targets soft focus or motion blur, not square pixel artifacts. An AI image enhancer or super resolution pass can rebuild plausible detail, but it should stay faithful to the source and avoid inventing text, logos, or identity cues that were never there. For a related edit, use Upscale Image when the next version needs a different cleanup or adjustment.
— Chapter 02 —
Use this when faces, hair edges, and skin transitions are the most important details to clean up without changing identity.
Use this for UI captures, product dashboards, app screens, and labels where cleaner lines matter more than beauty retouching.
Use this for packaging, old scans, logos, and saved thumbnails that need less blockiness while keeping the original crop readable.
Use images where the subject is still recognizable; depixelation can refine blocky detail but cannot reliably recover information that is fully missing.
Choose screenshot or UI cleanup for icons and interface captures, and portrait or product recovery when edges and texture matter more.
Do not rely on the result for identity verification, license plates, legal evidence, or exact text reconstruction from unreadable pixels.
Compare before and after at the final display size because overly sharp restorations can look convincing zoomed out but artificial up close.
— Occasions —
Rescue compressed thumbnails, old avatars, livestream stills, and profile photos when the subject is recognizable but the saved file is visibly blocky.
Clean up low-resolution packshots, marketplace exports, and catalog thumbnails before they appear in storefront cards or campaign mockups.
Improve fuzzy dashboards, app screens, support images, and deck screenshots where interface borders and icons need to feel sharper.
Refresh old scans, saved logos, document crops, and graphics that have been repeatedly resized or compressed over time.
— Chapter 04 · How to —
Depixelate an image in about 1 minute. Upload one low-resolution portrait, screenshot, product crop, old download, thumbnail, or graphic and choose how much reconstruction it needs.
Use a small portrait, old download, compressed screenshot, product crop, or blocky graphic where the subject is still identifiable and the goal is to fix a pixelated image rather than recreate it from scratch.
Tip: The more recognizable the original subject, the stronger the depixelation result and the more believable the restored image clarity.
Use a lighter cleanup for mild compression, stronger reconstruction for blocky faces or product shapes, and a text-aware pass when screenshots or UI labels need clearer edges. This is where an AI image enhancer behaves more like super resolution than a plain sharpen filter.
Tip: Start moderate for faces so the result sharpens detail without inventing a different person or overcorrecting skin texture.
Create the cleaner image, then inspect eyes, hair, text labels, UI borders, product edges, and repeated textures for invented or over-sharpened detail before you export the final version.
Tip: If the image changes too much, rerun with less reconstruction or a tighter crop so the unpixelate image pass stays faithful to the source.