Modern AI tools use deep learning models (typically convolutional neural networks or transformers) trained on millions of image pairs to detect the primary subject. The model creates a "matte" — a grayscale mask where white = keep and black = remove. Soft edges handle hair, fur, and semi-transparent areas through alpha matting techniques.

High contrast between subject and background yields the best results: product photos on white/solid backgrounds, portraits against plain walls, objects with defined edges. Challenging cases: hair against complex backgrounds, glass/transparent objects, similar colors between subject and background, extremely busy patterns.

PNG is the safe universal choice — supported everywhere with full transparency. WebP is 26% smaller with equal quality — prefer it for web/e-commerce to save bandwidth. If uploading to older platforms (Word, PowerPoint, some CMSs), use PNG. For print, ask your printer for their preferred transparent format (often PDF or TIFF).

Download as PNG with transparency. Most e-commerce platforms (Shopify, Amazon, eBay) accept PNG. Amazon requires product images on pure white (#FFFFFF) backgrounds — after removing the background, place the subject on a white canvas in any photo editor. Shopify accepts transparent PNGs and displays them on whatever background your theme uses.

Yes. Phone photos work well, especially in portrait mode (which creates depth data). Tips for better results: use even lighting, avoid busy backgrounds, wear contrasting colors, shoot at arm's length (not too close or far). Photos taken against plain walls or outdoors with clear sky tend to give the cleanest edges.

Removing (masking) preserves the original image layer with a transparency channel — you can still see semi-transparent areas like hair wisps or shadows. Erasing permanently deletes pixels. Background removal is non-destructive; erasing is destructive. Always work with the masked PNG to retain quality for future edits.