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Watermark Remover

Watermark removal for images, PDFs and video that computes before it guesses, and cleans even scans tiled edge to edge with repeated marks

About

Removal happens in two steps: first find exactly where the watermark is, then pick a restoration method by how much information is available, computing the original wherever possible instead of letting AI guess. Watermarks stored in a PDF as annotations, layers or text and graphics repeated on every page are deleted as objects, with no loss at all; semi-transparent marks are inverted once their opacity and color are estimated, keeping the real texture underneath; in video, real pixels are borrowed from neighboring frames; only where no information exists does AI inpainting (LaMa) step in. The hardest case is a scanned page tiled with a repeated watermark that runs over text and photos and bends with the paper and the scan's perspective. The tool finds the repeat pattern, assembles a clean template, then locates every copy, fitting it piece by piece along curled page edges and completing copies that are only half visible. Every method is scored on benchmarks — synthetic watermarks on the Kodak set, 39 scanned-page stress cases, and real scans checked with OCR — and the full regression runs after each change. It runs locally on a desktop and is operated in the browser, so files never leave the machine. A work in progress, meant for files you have the right to edit.

Features
  1. 01

    PDF: detects annotations, layers and text, images or graphics repeated on every page, and deletes them as objects, losslessly

  2. 02

    Semi-transparent watermarks: estimates opacity and color, then inverts them to keep the real texture underneath

  3. 03

    Tiled watermarks: finds the repeat pattern automatically and estimates jointly from many copies, no manual marking

  4. 04

    Tiled watermarks on scans: locates each copy and fits it piece by piece along curled page edges, even over text and photos

  5. 05

    Video: finds fixed or jumping watermarks automatically and borrows real pixels from neighboring frames, audio kept

  6. 06

    Text watermark detection: OCR plus a watermark-likeness score, with manual add and remove

  7. 07

    Runs locally: operated in the browser, computed on the desktop, files never leave the machine

  8. 08

    Every method scored on benchmarks, with a full regression after each change

Screens
Scanned page: a gray diagonal watermark tiled over Chinese text and a photo; the text underneath is kept intact
Scanned page: a gray diagonal watermark tiled over Chinese text and a photo; the text underneath is kept intact
Photo: semi-transparent tiled watermark, inverted to recover the real texture
Photo: semi-transparent tiled watermark, inverted to recover the real texture
Photo: corner text watermark, detected automatically and inpainted
Photo: corner text watermark, detected automatically and inpainted
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