Local image cleaning and upscaling

Clean or upscale images locally in your browser

PicRemedy can reduce noise and JPEG or WebP artifacts without changing dimensions, or synthesize a 2x or native 4x output when the larger model passes on this device. Source image bytes stay in this tab, and AI-generated detail is not recovered ground truth.

Add up to 10 images

No account · no server image processor · inspect before saving

Up to ten images, one in-page queue

Build a local repair queue

Choose AI Clean or an available upscale treatment, then process every local item sequentially. A failed file never stops the rest.

    Treatment

    Use only what passes here

    Checking limits…
    Output scale

    Choose images to see exact output dimensions and working-memory cost.

    Browser check in progress

    01

    Image bytes stay here

    Source image bytes, decoded pixels and generated results remain in the current browser tab.

    02

    Every model earns its button

    AI Clean and Neural Upscale appear only after their exact packaged model passes its browser check.

    03

    You judge the output

    AI can synthesize plausible detail and artifacts; comparison shows the change before you save it.

    Also on PicRemedy

    One more tool, same rules

    Before you choose an image

    Does PicRemedy upload my images?

    No. Source image bytes, decoded pixels and generated results remain in the current browser tab. The page still requests its own model files and property-free audience measurement.

    What does AI Clean do?

    It uses a compact neural model to reduce noise and common JPEG or WebP compression artifacts without changing the image dimensions.

    Why might Neural Upscale be absent?

    PicRemedy shows it only after the exact browser model and parity fixture pass on the current graphics device. Compatibility resize remains available.

    What is the difference between 2x and 4x?

    Both come from the same V6 neural package. The 4x choice uses its native output instead of enlarging the 2x result again.

    Does an AI result recover the original truth?

    No. A model synthesizes a plausible output from the available pixels and may add artifacts. Compare the result at full size before using it.

    What happens when I clear or close the tab?

    PicRemedy revokes local object URLs and drops the in-page queue. It does not create a server copy of a source or generated image.

    When the result is synthetic

    AI Clean keeps the width and height of your image. It tries to reduce noise and the blocky patches that JPEG or WebP compression leaves behind. Neural Upscale, where your device offers it, makes a larger image by predicting pixels that the source never held. Compatibility resize enlarges with ordinary canvas resampling and uses no model at all.

    Treat every model output as a suggestion. The pixels a model adds are inferences from the pixels around them. Faces, text, repeated patterns and high-contrast edges are where a wrong guess is easiest to see. Compare the result at full size, and keep your original file.

    Which treatment to start with

    For a noisy or heavily compressed picture that should stay the same size, start with AI Clean. For a small picture that has to be larger, work out how much larger first. Three short guides go further.

    Each guide states its limits next to its claims and links to the receipt-backed method on the method page.