AI Image Unpixelator

No. It rebuilds plausible detail, not the hidden original, and must not be used to uncover censored faces or information. Mosaicked faces, plates and documents are hidden for a reason, and any output would be invention presented as fact.

It focuses on cleaning up blocks and artifacts rather than adding size. Once the picture looks smooth, use the Image Upscaler to enlarge it for print or a large screen. Cleaning first gives the upscaler a better starting point, because enlarging blocks only makes them bigger.

Pictures that are blocky but still readable, such as a small logo, an old forum photo or an over-compressed screenshot. If the subject is only a handful of squares, the result is an informed guess rather than a restoration. Moderate compression damage on a normal-sized photo usually recovers most convincingly.

Look at the pattern of the damage. Regular squares, staircase edges and smudged blocks around text come from enlarging or over-compressing a file, and that is what this tool rebuilds. Fine, random grain and colored specks spread across a dark photo are sensor noise, which Denoise Image handles better. A night photo shared many times can have both, so clean the blocks first and then check whether grain remains.

Letters and small symbols need exact shapes, and a few blocks rarely define them fully. The model may choose a similar but wrong character, stroke or spacing. For brand work, compare the output with an official reference and recreate critical lettering from that source instead of trusting the reconstruction.

It uses pay-as-you-go credits. The price is shown next to the Generate button before you start.

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