No single checker covers everything, so it helps to know a few others:
- OpenAI’s own checker looks for OpenAI’s watermarks and AI-confirming metadata, but it only covers OpenAI’s tools.
- Meta’s detector looks for its own watermark, called Content Seal. A 2026 investigation found it sometimes failed to flag content made with Meta’s own AI.
- Content credentials (C2PA) are tamper-evident labels some cameras and phones attach to photos to record how they were made. Google’s Pixel phones add C2PA data to every photo and add SynthID when AI editing is used. If a photo carries credentials showing it came straight from a camera, that’s a strong sign it’s genuine.
- Apple’s Reference mode keeps a cryptographically verified original of a photo, but only for shots taken in that mode in the iPhone Camera app.
Anthropic and Microsoft have also started watermarking AI media, but neither offers a public tool to check for those marks yet.
Why you shouldn’t just ask a chatbot
It’s tempting to paste a picture into ChatGPT, Gemini or Grok and ask, “Is this real?” Be careful. In one test, Gemini correctly said an edited image was AI, then invented a detailed backstory about an “original” photo that doesn’t appear to exist. Grok, asked about a fake image it had generated itself, guessed it came from a different AI tool. In another case, chatbots asked about a fake picture of a famous tech boss gave conflicting answers, with one calling it authentic.
Chatbots are good at describing what’s in an image. They are not reliable judges of where it came from. The same goes for many free “AI detector” websites that guess based on patterns rather than watermarks: they often flag human-made work as AI.
Visual clues that still help
Your eyes aren’t useless, just less reliable than before. When you look closely, check for:
- A plastic sheen on skin and surfaces, especially from cheaper image generators.
- Garbled details in text, signs, logos, jewelry, glasses frames and the edges of hair.
- Odd faces in the background, where generators often put less effort.
- Lighting and shadows that don’t agree with each other.
- A gut feeling that something is off. It’s not proof, but it’s a good reason to run the other checks.