Neural Cut Studio

How Online Background Removal Works

Removing a background from an image—historically known as "matting" or "segmentation"—is the process of identifying a subject and separating it from its surroundings. Our Free Background Remover utilizes two primary layers of logic: an AI-driven Neural Network (when available) and a highly optimized Chroma-Sampling Fallback algorithm.

The Fallback Algorithm: Sampling & Smoothing

When external AI libraries are unreachable, our engine activates a sophisticated color-distance algorithm. It samples the four corners of your image to establish a "Background Profile" and then calculates the Euclidean distance for every pixel: $$d = \sqrt{(r_1-r_2)^2 + (g_1-g_2)^2 + (b_1-b_2)^2}$$ If the distance $d$ is below your chosen threshold, the pixel is rendered transparent.