CNN CLASSIFIER · GRAD-CAM EXPLAINABILITY
Is that photo real, or was it generated?
CIFAKE analyzes an image with a trained convolutional neural network and shows you exactly which regions influenced its decision — REAL or AI-generated — with a Grad-CAM visual explanation and a confidence score.
MODEL CNN · sigmoid
INPUT MODEL-SIZED RGB
STATUS READY
32×32
Input Resolution
2
Output Classes
Grad-CAM
Explainability
<1s
Inference Time
How the analysis works
Every upload goes through the same trained pipeline used in the CLI — now wrapped in a browser-friendly workflow.
1. Upload
Drag and drop or browse for a JPG, JPEG, or PNG image you want to verify.
2. Classify
The trained CNN scores the image and returns a REAL/FAKE label with a confidence percentage.
3. Explain
Grad-CAM highlights the pixels that most influenced the verdict, shown as a heatmap overlay.
Ready to analyze an image?
Get a REAL/FAKE verdict, confidence score, and Grad-CAM explanation in seconds.
Start Analysis