I use removal.ai to remove backgrounds from product images, which is great for preparing visuals for online listings and marketing materials. I like how it helps us publish listings faster, keeps our branding consistent across marketplaces, and reduces our reliance on manual photo editing, saving us both time and cost. The tool is particularly helpful for our retail team, as it provides clean, uniform product images across multiple channels. I also appreciate the quick processing and consistent results, especially when updating seasonal collections or promotions. The initial setup was simple and straightforward.

I use Removal.ai to clean up product photos, mainly to remove backgrounds quickly, which helps me prepare images for our online store, ads, and social media. The tool has made our product photo process much faster, providing clean, consistent cutouts that are perfect for uploading to our online store. I appreciate the strong accuracy, even though some very detailed items need a quick manual touch-up. The user interface is smooth, which made the initial setup easy.

Removal.ai is really easy to use and implement. What I like most about Removal.ai is how fast the background removal is. You just upload an image, and within seconds, it removes backgrounds cleanly, even around hair, or uneven edges. The interface is very easy to use, and there’s no need for technical experience, which makes it great for quick edits. I also really like that the website lets me choose whether I want to create an account or just start using the service without making any account. I also noticed that the website could understand close colours and know that this is from the object but this is from the background. Also, the website lets me restore or add things to the object manually if I think there is a problem with the background eraser. Finally, there is a desktop application for this service as well as a Figma plugin, which makes the integration really great and will be a good benefit for anyone working in UI design or using Figma.