The latest articles on DEV Community by Khangsar Gajewski (@khangsar_gajewski_90b88c2). https://dev.to/khangsar_gajewski_90b88c2 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4065537%2F0f1f2d5f-158b-4ffb-82d7-f486f429f0cc.png https://dev.to/khangsar_gajewski_90b88c2 en Khangsar Gajewski Thu, 06 Aug 2026 08:54:51 +0000 https://dev.to/khangsar_gajewski_90b88c2/how-to-remove-text-and-watermarks-from-images-in-seconds-with-ai-1e4m https://dev.to/khangsar_gajewski_90b88c2/how-to-remove-text-and-watermarks-from-images-in-seconds-with-ai-1e4m <h1> How to Remove Text and Watermarks from Images in Seconds with AI </h1> <p>Removing text overlays, watermarks, or unwanted objects from screenshots and photos used to mean opening Photoshop and spending minutes on clone stamping. With modern AI image models, the same cleanup takes seconds.</p> <h2> The workflow </h2> <ol> <li>Upload your image to an AI photo cleanup tool</li> <li>Brush over the area you want removed (text, watermark, logo, person)</li> <li>The AI reconstructs the background automatically</li> <li>Download the cleaned image</li> </ol> <h2> Tools that do this well </h2> <p><a href="https://anyremover.com/" rel="noopener noreferrer">AnyRemover</a> is a browser-based AI photo cleanup tool that removes text, watermarks, people, logos, and date stamps from images. It supports multiple AI processing modes including Smart AI, Flux Fill, and Nano Banana, and reconstructs the cleaned area so it looks completely natural. No install or registration required.</p> <h2> Common use cases </h2> <ul> <li> <strong>Marketers</strong>: Remove text overlays from product screenshots before publishing</li> <li> <strong>Designers</strong>: Clean up mockups without destroying the original layers</li> <li> <strong>Photographers</strong>: Remove tourists, power lines, or blemishes from travel photos</li> <li> <strong>Content creators</strong>: Erase watermarks from stock images and memes</li> </ul> <h2> A quick tip </h2> <p>For best results, use the largest brush stroke that covers the unwanted element, then let the model rebuild the area. Small patchy strokes can leave artifacts that the reconstruction model has to guess around.</p> ai productivity