about : Our AI image detector uses advanced machine learning models to analyze every uploaded image and determine whether it's AI generated or human created. Here's how the detection process works from start to finish. How the detection pipeline identifies synthetic content The core of any reliable ai image detector is a layered pipeline that inspects visual data at multiple levels. Initially, images are preprocessed to normalize color spaces, remove compression artifacts, and rescale to model-friendly dimensions. This stage helps reduce noise from camera settings or web compression so downstream models see consistent inputs. Next, a suite of convolutional and transformer-based architectures extract features ranging from low-level texture patterns to…