Calabi Labs · Guide · 2026-06-08
Short answer: You can detect AI-generated images and deepfakes using OpenAI's detection classifier, visual inspection techniques, and verification tools. Here's the full guide.
Deepfakes are AI-generated or AI-manipulated images, videos, and audio designed to look real. They use models like GANs (Generative Adversarial Networks) and diffusion models to create convincing fake content. As AI tools have become more accessible, the volume of deepfakes has exploded—making detection a critical skill.
OpenAI released a classifier designed to identify AI-generated images. Here's how to use it:
Limitations: It's not 100% accurate and works best on images from known AI generators.
When you can't use a tool, look for these red flags:
| Red Flag | What to Look For |
|---|---|
| Unnatural hands/fingers | Extra digits, fused fingers, weird angles |
| Asymmetrical features | Mismatched ears, uneven eyes, lopsided jewelry |
| Skin texture | Too smooth, porcelain-like, or "plastic" appearance |
| Lighting inconsistencies | Shadows that don't match the light source |
| Background artifacts | Blurry areas, distorted text, impossible geometry |
| Teeth/hair abnormalities | Missing teeth, strands that blend incorrectly |
Right-click an image → Properties → Details. Check for:
Many AI-generated images strip or lack authentic EXIF metadata.
OpenAI's dedicated image classifier focuses on static images. For video, combine:
The field is evolving fast—OpenAI and others are actively developing more robust video detection models.
Detecting deepfakes requires a mix of tools and skills. OpenAI's classifier is a strong starting point for images, but combine it with visual inspection, reverse search, and video-specific tools for the best results.
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