AI-Generated Image Detection identifies images produced by diffusion models, GANs, and other generative image systems. The classifier combines metadata inspection, perceptual fingerprinting, and multimodal vision classifiers to evaluate whether an image originated from a generative model, was substantially manipulated, or is an authentic capture.
This classifier targets the highest-value image-fraud entry points in enterprise workflows fabricated accident photos in auto insurance claims, synthetic damage evidence in home insurance, and etc.
Image detectors
This section explains how each detector analyzes image content to distinguish AI-generated or manipulated images from authentic camera-captured photos. The detectors evaluate a range of visual, statistical, and metadata-based signals within the image to identify patterns commonly associated with synthetic or edited media, helping organizations assess the authenticity and integrity of visual data.
How to Configuration
Policies > Workflow rules > "Workflow name" > OPSWAT AI Content Inspector > Advanced Options
Detect Image: When enabled, the uploaded image is scanned for metadata indicators associated with AI-generated or edited media. This includes checking for software tags, missing camera information, provenance data, and other file-level signals that may suggest synthetic content. *Only metadata-based analysis is performed when this option is enabled by itself.
Enable AI Model: When enabled, the image is analyzed using the full AI detection pipeline, including forensic analysis, machine learning models, metadata inspection, and visual artifact detection. This option performs a comprehensive scan using all available detectors and AI models to provide a higher-confidence authenticity assessment.
