Credify — AI Image Detector

About Credify

What Credify does

Credify estimates whether an image or video frame is AI-generated or real by analyzing texture contrast and frequency-domain artifacts rather than obvious visual mistakes.

This allows Credify to generalize across many AI generators instead of relying on model-specific watermarks.

What AI models it works best on

Credify is strongest on:

Diffusion-based generators (modern AI image tools)
GAN-based generators (synthetic faces, older generators)
AI images that were lightly edited after generation

Credify does not rely on embedded watermarks.

How the model was trained (high-level)

The model was trained as a binary classifier (real vs synthetic) using:

real camera images
AI-generated images from multiple sources

Each image is converted into a compact fingerprint based on:

patch-level texture variation
frequency-spectrum summaries

The neural network learns how these fingerprints differ between real and synthetic content.

How to interpret the score

0–40% → likely real camera content
40–60% → mixed / uncertain signals
60–100% → stronger AI-like artifact patterns

Treat the score as a risk signal, not absolute proof.

Limitations

Credify may be less reliable when:

images are heavily compressed or rescaled
images are screenshots of other images
there is lots of text, UI, or memes
real photos have been AI-enhanced or upscaled

Use Credify as one part of a broader verification workflow.

Mobile & sharing note (important)

If you send an image through messaging apps or “save image” on a phone, the file can be recompressed/resized. That can remove the exact artifacts Credify looks for and change the score. Turn on Robust Mode for more stable results on shared images.