AI watermark detection and removal
The main workflow scans an uploaded image, detects watermark layers, and removes them automatically. The product says this usually takes only seconds and is designed to minimize blur.
DeWatermark is an AI watermark remover for images, with web and desktop options for Windows and Mac. It helps users remove logos, timestamps, signatures, and other overlaid marks, with manual refinement and paid Pro workflows available.
DeWatermark is an AI-powered watermark remover for images, with additional site references to video and PDF workflows in the product description. Its main job is to remove watermarks, logos, timestamps, signatures, and text from uploaded files while preserving image quality as much as possible.
The web product is built around a simple upload-and-process flow: upload a file, let the AI detect and remove the watermark, optionally refine the result with a manual brush, and download the cleaned output. The site positions this as a free web experience with paid options for higher-quality output and Pro features, plus desktop software for Windows and Mac.
The main workflow scans an uploaded image, detects watermark layers, and removes them automatically. The product says this usually takes only seconds and is designed to minimize blur.
For difficult cases, the editor includes a manual brush to clean up remaining artifacts after automatic removal. This gives users a way to refine specific areas instead of starting over.
The site highlights a newer auto-removal mode and a more powerful mode for harder watermarks, alongside an earlier, faster generation for smaller images. This suggests users can choose a method based on the image complexity.
The desktop software supports processing up to 50 images at once, which is intended for bulk cleanup workflows. The batch tool is also surfaced on the site for grouped editing.
Paid plans include tools such as 4x image upscale, full video processing, AI text removal, and API access. These are bundled into the broader DeWatermark Pro offering.
The product is available as a web app, desktop app for Windows and Mac, and mobile web experience on iOS and Android. The pricing page also notes a mobile app presence in app stores.
Useful when someone needs to remove logos, timestamps, or text overlays from a single photo before sharing or republishing it. The workflow supports quick upload and manual correction if the automatic pass leaves artifacts.
Helpful for e-commerce or catalog teams preparing many product images at once. The desktop app and batch tools are positioned for processing multiple images in a single run.
Fits creators who want to repurpose images for other channels without visible platform marks. The site specifically mentions watermarks from platforms such as TikTok in user feedback and product copy.
Relevant for users who need to refine images for presentations, study materials, or research publication drafts. The product copy emphasizes removing complex watermarks while keeping detail intact.
Useful for teams that want a desktop workflow instead of uploading through the browser each time. The Windows and Mac app is presented as faster and more stable for repeated use.
You can upload an image, let the AI remove the watermark, optionally refine the result with the manual brush, and then download the cleaned image in HD.
The homepage and FAQ mention JPG and PNG support, while the page also references WEBP and AVIF on the main site and batch processing for images. Support details appear to vary by page, so the safest confirmed formats are JPG and PNG, with additional image formats referenced on the site.
Yes. The site says the desktop app keeps manual editing features, and the homepage also describes a manual brush for fixing remaining artifacts after AI removal.
Yes. The product has both a web app and desktop software for Windows and Mac, and the homepage says it can also be used on iOS and Android through a mobile browser.
The pricing page shows a free plan with daily credits, a Pro Pack, pay-as-you-go credits, and an enterprise contact option. Credits are used across the web app and API.