AI Image Watermark Remover
Upload a photo, choose PNG, JPEG or WebP output, and let AI clean up visible watermarks.
AI Image Watermark Remover
Upload a photo, choose PNG, JPEG or WebP output, and let AI clean up visible watermarks.
Remove visible watermarks from photos and images
Use this photo watermark remover to clean up visible logos, date stamps or text marks in a single image. Upload your photo, choose the output format and start automatic processing. Check the rebuilt area before using the result, especially if the mark covers faces or fine detail. Only edit images you own or have permission to modify.
Compare the image before and after processing
Compare the sky, castle outlines and wall textures around the watermark in this example. Look at both images at a similar size to judge how the edited area blends with its surroundings.
Original image
Processed image
How to remove watermarks from photos
Choose your output format before processing, then inspect and download the result.
Step 1 — Upload your image
Upload one JPEG, PNG or WebP image up to 10 MB. Start with a clear original where possible, rather than a heavily compressed screenshot or a copy saved many times.
Step 2 — Choose a format and start removal
Choose PNG, JPEG or WebP as the output format before processing. Sign in, check the required credits and start automatic watermark removal.
Step 3 — Check and download the image
Review the edited area and nearby faces, edges, patterns and important text. Download the result in the format selected for this run when it meets your needs.
Tools for your next image edit
Image watermark removal FAQ
How do I remove watermarks from photos?
Upload one supported photo, choose the output format and start processing after checking the credits. Preview the completed image before downloading, especially where the watermark covered important details.
Which image formats and file sizes are supported?
The tool accepts one JPEG, PNG or WebP image up to 10 MB. If the file is too large, prepare a smaller copy while keeping as much useful detail as possible.
Do I need to paint over the watermark?
No. Watermark detection and removal are automatic. This page does not provide a brush for selecting or protecting individual regions, so check any text, logos or other details that should remain in the image.
Can I remove text, logos or date stamps from an image?
The tool can attempt to clean up visible text marks, logos and date overlays. It does not let you select specific words for removal. Results depend on the covered area and the detail around it.
Should I choose PNG, JPEG or WebP output?
Choose the output format before you start. PNG uses lossless encoding, JPEG is commonly used for photographs, and WebP is useful for web images. The format choice does not guarantee that AI will recover the original detail hidden by a watermark.
Can AI remove a watermark without blurring the image?
AI tries to fill the covered region so it fits the surrounding image. Some areas may still look soft or contain altered textures. Compare the result with the original and inspect faces, fine text and edges before using it.
Why are large or repeated watermarks harder to remove?
They can hide much of the detail needed to reconstruct the image. Complex backgrounds, repeating patterns and marks over faces may leave traces or changes even after processing. A clearer source helps, but it does not ensure a perfect result.
Can I remove watermarks from several images at once?
The current page processes one uploaded image per run. Handle each image separately and review its result before continuing with another file.
Do I need an account, and can I use starter credits?
An account is required to start processing. New accounts receive starter credits, and each image uses credits at the displayed rate. Check your balance and the required amount before starting a run.
How can I improve a result that still has watermark traces?
Try a clearer original if available and compare the edited edges and textures at a useful viewing size. Heavy compression or a mark covering essential detail can limit the result. Each new processing run consumes credits.