How to Remove Supplier Watermarks from Product Photos: AI Removal Guide for E-Commerce

Supplier product photos are almost always going to have watermarks in e-commerce. The manufacturer or distributor will typically add their brand name, logo or website URL to the photo prior to sending it to the reseller. That’s the norm in the wholesale/dropshipping world. Once you’ve placed an order or established a supplier relationship with them you’ll need to remove the watermark prior to using the photo in your store.

This guide looks at the various types of watermarks that you’ll find on supplier product photos, how the AI removes them, and the best way to go about processing your product images.

Why Suppliers Watermark Product Photos

Suppliers use watermarks for a reason (they prevent competitors from just taking the same product images and using them without having to go to the supplier). If the image has a manufacturer’s URL or logo in it, then that tells you the reseller got it directly from the manufacturer.

For resellers, watermarks are a problem. Listings with obvious supplier watermarks look unprofessional, can raise questions about the origin of the product and can in fact get removed from sites such as Amazon and Etsy for image quality reasons.

Removing the watermark is standard practice. The supplier provides you with the photo to use in your listings, and the watermark is simply there for protection as the image gets distributed. It’s not meant to be on the image at all.

Common Types of Supplier Watermarks

What AI Removal Does Differently

Traditional watermark removal techniques (cloning in from adjacent pixels, painting over the logo, blurring the area, etc.) invariably leave a visible patch. This is particularly the case when the watermark is on a product that has texture, pattern or gradient. The end result is always going to look edited.

AI inpainting looks at the whole image and works out what the background behind the watermark should be by looking at the surrounding area. In product photography, where you typically have clean backgrounds, even lighting, and very defined product edges, the results are generally very clean. The AI will know that the background should be smooth (white), that the product edge should curve and that the fabric should have a certain kind of repeat.

The practical result: as a product photo watermark remover, AI inpainting on standard product images is usually very clean — supplier marks removed without any visible traces, even when placed over part of the product itself.

Step-by-Step: Processing Supplier Product Photos

• Step 1: Sort your photos by watermark type before you start. The corner logos and edge text are the easiest to deal with automatically. The more complex placements (e.g. the watermark centred over the product, or a tiled pattern) will require a bit more attention. Grouping by type will speed up your batch processing.
• Step 2: Use the highest resolution photo that your supplier has provided. They’ll often send you photos in a range of sizes so select the largest. More pixels = more information for the AI = better results.
• Step 3: Start with auto-detection. For most supplier watermarks (corner logos, URL strips, diagonal text, etc.), the AI will be able to find and remove them without you doing anything at all.
• Step 4: use the manual brush for the tricky bits. If the watermark is in the middle of the product or the auto tool has missed a few spots then use the brush tool to paint over those areas and re-run the process. This is particularly useful when you have a logo on the product rather than on the background.
• Step 5: Check your work at 100% zoom. Look in the area where the watermark was (particularly if it covered part of the product). The background and product edges should be natural with no visible lines or patches.
• Step 6: Download the finished photo and get it ready for your listing. The output will be full resolution. For most e-commerce sites, you’ll want to lightly compress the image prior to uploading. Amazon, Shopify and Etsy will compress the image themselves but it’s best to start with a clean uncompressed file.

To remove supplier watermarks without leaving any trace at all, then Phototune can automatically deal with corner logos, URL strips, and diagonal overlays. For more complicated placements, you can of course use the manual brush.

Special Case: Tiled and Repeated Watermarks

Some suppliers will use a repeating watermark pattern that covers the entire image with their logo or URL tiled across the image at regular intervals. That’s the most difficult type of watermark for any removal tool to deal with.

Standard auto-detection may well miss some of the elements in a tiled pattern as the AI has to work out whether the repeating element is a watermark or part of the product. For these types of patterns, the best approach is:

• Run automatic detection to catch the majority of instances.
• Zoom to 100% and check systematically across the image for any remaining traces.
• Use the manual brush on any missed instances and reprocess.
• Pay particular attention to the corners and edges as the tiled patterns can create partial watermarks in those areas which are more difficult for the automated detection to pick up.

Image Quality After Removal

A few checks before the photos go live on your listings: