AI / IMAGE VERIFICATION
CatfishCheck
AI-powered image verification for detecting generated, stolen, or reused images.
Problem
Online images can be difficult to verify. Users often have no simple way to understand whether an image is authentic, reused, or generated.
Approach
Combine AI analysis with verification signals to turn complex image analysis into clear, understandable results.
Solution
A focused verification experience that analyzes an image, surfaces useful signals, and presents the result in a way that people can understand quickly.
OBJECTIVE
Make image verification easier to understand.
CatfishCheck is designed around a simple idea: image verification should not require users to understand the underlying AI system. The experience focuses on turning analysis into clear signals that can be understood quickly.
CORE FEATURES
Built around the verification moment.
Image analysis
A focused workflow for submitting an image and processing verification signals.
Clear results
Important findings are presented using simple visual hierarchy instead of technical noise.
Verification signals
The experience creates room for multiple signals to contribute to a final assessment.
Responsive experience
The interface is designed to remain usable across desktop and mobile screens.
HOW IT WORKS
From image to useful signal.
Submit
The user provides the image they want to investigate.
Analyze
The system processes available image signals and prepares them for evaluation.
Interpret
Relevant findings are organized into a result that is easier to understand.
Act
The user can use the result as an additional signal when deciding how much to trust or investigate an image.
THE BUILD
Turning verification into a simple experience.
DETECTION
AI-assisted image analysis
The interface is designed around the verification moment: upload an image, process the available signals, and present the result without overwhelming the user with technical complexity.
EXPERIENCE
Clear signals, not confusing dashboards
Visual hierarchy keeps the important information obvious. Status indicators, confidence signals, and supporting information are separated so the user can understand what happened at a glance.
STACK
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