Dewatermark - Remove Watermark

The core engine uses inpainting and GAN models to find the watermark layer and rebuild what sits underneath. It handles text, logos, diagonal patterns, timestamps, and full-screen tiles, and the company says a single image clears in under 5 seconds. What separates this from a manual erase is that the background comes back with matching texture, so there is no soft patch left behind.

Dewatermark ships three models for different jobs. Auto Remove 2.0 is tuned for emojis and simple overlays, Auto Remove 3.0 covers most everyday marks, and PRO Remove takes on multi-layered or nearly invisible watermarks down to opacity 0.02. Picking the right one is the difference between a clean result and one that needs a touch-up pass.

When the automatic pass leaves something behind, the brush lets you paint over it and applies inpainting only to the painted region. This is how you handle signatures, irregular objects, and partial overlays that a full-image scan would miss. It gives the tool a fallback that pure one-click removers lack.

Batch mode processes up to 50 images at once with the same settings applied across the set, then hands back a single ZIP file. For anyone working through a seller catalog or a photo library, that turns a repetitive task into one upload. It is a paid-plan feature, so the free tier will not cover bulk work.

The tool also strips watermarks from video, not just stills. A credit covers one second of video, and async jobs let longer clips process in the background. Full video processing is tied to the paid plans, which is the main reason to move off the free tier if video is part of your work.

Developers get a REST API and a Model Context Protocol server for wiring removal into their own tools. The workflow is short: authenticate, upload the file, define the watermark area or let it auto-detect, then pull the result. The company advertises a cost of roughly $0.83 to $2.50 per 1000 images at scale, which is the kind of number many API rivals keep off the page.