How to Tell if a Photo Is AI-Generated

1. Check where the image came from

The strongest first question is not what the pixels look like, but where the file originated. Look for the original post, creator account, publication date, and whether the uploader provides a camera original or Content Credentials.

• Find the earliest known upload
• Check whether the account routinely posts generated art
• Ask for the original file rather than a screenshot

2. Inspect details at full size

Zoom in on areas generators often struggle to keep globally consistent. Modern systems may produce convincing faces, but small relationships between objects can still conflict.

• Hands, jewelry, glasses, and overlapping objects
• Readable text, logos, labels, and repeated patterns
• Reflections, shadows, depth of field, and light direction

3. Review metadata carefully

EXIF data can show a camera model, editing software, timestamps, and export history. Missing metadata is common on social platforms and is not proof of AI generation; contradictory metadata is more informative than absence alone.

4. Use more than one forensic signal

A responsible check combines visual pattern analysis, metadata, compression traces, manipulation clues, and semantic plausibility. Agreement across independent signals is more useful than one isolated classifier result.

5. Interpret uncertainty honestly

A low-confidence result means the available evidence is weak or conflicting. Seek the original file, another source, or corroborating context instead of forcing a yes-or-no conclusion.

What is the easiest sign that a photo is AI-generated?

There is no universal easiest sign. Inconsistent text, reflections, anatomy, or object boundaries can be useful clues, but each can also occur in edited or compressed real photos.

Does missing EXIF data mean an image is AI-generated?

No. Messaging apps and social networks often remove metadata from real photos.

Can an AI detector be 100% certain?

No. Detection is probabilistic and should be treated as one part of a broader verification process.