Marketplaces want clean product images on a white background, and suppliers send lifestyle shots. SKULaunch can process product images in bulk, including background removal, so a whole range meets marketplace image rules without a retoucher working one image at a time.
The problem
Amazon and many marketplaces require the main image on a pure white background. Suppliers send photos on grey, in rooms, or with props. Fixing them is either manual retouching, slow and costly at volume, or a stream of single-image online tools that cannot handle thousands of files or keep them linked to products.
Before and after
An illustrative example from a homewares range.
Before: the supplier images
640 main images: product on a kitchen counter, on grey card, with shadows and props.
After: processed in SKULaunch
- Product cut out onto a white background
- Original kept alongside the processed version
- Processed image set as the main image for marketplace channels
- Reviewed before approval
How it works in SKULaunch
- Select the images. Filter to the products or assets that need processing.
- Process in bulk. Run background removal across the set in the DAM.
- Keep both versions. Originals stay for the website; processed images go to marketplaces.
- Review and publish. Check results, especially edges on fine detail, then approve.
Check the hard cases
Automated cut-outs handle solid products well. Glass, chrome, wire, hair and fine mesh are harder and worth reviewing individually. Sort processed images so those categories are checked first, and keep the originals so anything that does not look right can be reprocessed or retouched.
What changes
Whole ranges meet marketplace image rules, without per-image retouching.
Common questions
Is this available on every plan?
DAM image tools depend on your set-up. Confirm availability with us.
Are originals kept?
Yes. Processed and original images are both held.
Can we use it for the website too?
Yes, if you want a consistent white background across the site.
See the DAM, Amazon listing data, and the DAM platform page.

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