Kakao's emoticon ecosystem just passed 850,000 cumulative stickers, still growing a decade in. What Kakao Emoticon Studio and other sticker platforms actually require (a transparent-PNG background), and exactly what a browser background remover like NearBG does and doesn't do to get a personal photo there.
A researched comparison of Amazon, eBay, Coupang, and Naver Smart Store product-image background rules, and an honest look at what a browser-based background remover like NearBG does (transparent cutout + touch-up brush) and does not do (white-background compositing) to get a photo ready for one.
Hair and fur come out blocky after automatic background removal because segmentation and matting are different problems. What each one actually does, why NearBG's model hits this limit, and what its touch-up brush can and can't fix afterward.
The real story behind NearBG's segmentation model choice: why a higher-quality BiRefNet_lite ONNX export failed with a hard-coded input shape and then a WASM std::bad_alloc, and why U2Netp shipped instead despite a real edge-quality tradeoff.