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You have 20 photos with the same watermark in the same position. Processing them one by one is slow. Here's how to batch-clean watermarks and what to watch for in each photo.
You bought a set of stock photos for your website. They all have the same watermark in the bottom-right corner — the preview watermark the stock site adds before purchase. You downloaded them anyway (you paid for the license, but the preview files were all you could batch-download). Now you have 20 photos with the same watermark, and you need to clean them all. An AI watermark remover handles them in seconds each — here is the batch workflow and what to check in each photo.
Corner and edge watermarks. The easiest case. The watermark covers a small area, usually over background rather than the main subject, and the AI has plenty of surrounding context for inpainting. These clean up perfectly 95%+ of the time.
Repeating watermarks on simple backgrounds. A tiled watermark over a sky, a wall, or grass. The AI fills each instance independently, and simple backgrounds give it clean reference pixels. Results are consistently good.
Semi-transparent watermarks. Logos and text at 30-50% opacity. The AI sees the underlying image through the watermark and reconstructs it well. The semi-transparency actually helps — it gives the AI partial information about what is underneath.
Watermarks over faces. The AI fills the area but the reconstructed face may look slightly different — an eye shape that does not match, a skin texture that looks painted. If the watermark covers any part of a face, check that photo especially carefully. Our object remover faces the same challenge with objects over faces.
Watermarks over text. If the watermark covers a sign, a label, or any readable text, the AI will fill the area with shapes that look like text but say nothing. This is fine for decorative signs but problematic for product labels or document text where the words matter.
Watermarks over detailed patterns. Plaid clothing, brick walls, tile floors — repeating patterns that the AI needs to continue seamlessly. The AI usually gets the pattern right but occasionally creates a visible seam where the filled area meets the original. Check pattern continuity at the edges of the watermark area.
Very large watermarks (over 20% of the image). The larger the area to fill, the more the AI invents. Large filled areas tend toward blurry or generic-looking content. If the watermark covers a significant portion of the photo, the result will be an approximation, not a restoration.
If the watermark is in a corner and cropping would not harm the composition, crop it. Cropping is lossless — the remaining pixels are 100% original. AI removal is lossy — the filled pixels are synthetic. Always prefer cropping when composition allows it.
If the photo has multiple issues beyond the watermark — fading, scratches, tears — process through the photo restorer first, then remove the watermark. Restoration before watermark removal means the AI has cleaner source pixels to work with for the inpainting.
For the complete watermark removal guide, see our comparison of watermark removal methods — AI vs cropping vs clone stamp.
Watermark Remover
Erase watermarks, logos, text overlays, and timestamp stamps from images using BRIA Eraser AI inpainting. Canvas mask tool for precise removal area selection with adjustable brush size. Works on semi-transparent watermarks, logo stamps, and photo-bombing objects.
AI Object Remover
Remove unwanted objects, people, or text from photos with AI inpainting.
Photo Restorer
Restore and colorize old, blurry, or damaged photos.