How AI Image Detection Works
- Upload your image: Upload or drag and drop any image file (JPG, PNG, WebP, TIFF, etc.).
- Metadata analysis: The tool examines EXIF data, software tags, C2PA content credentials, and other metadata markers that indicate AI generation.
- Review results: Check the metadata table for AI indicators — Software field, Creator tool, C2PA assertions, and other telltale signs of AI-generated content.
What This Tool Detects
- C2PA Content Credentials — digital provenance standard adopted by Adobe, Microsoft, Google
- Software signatures from Midjourney, DALL-E, Stable Diffusion, Adobe Firefly
- JFIF application markers specific to AI image generators
- Missing camera-specific EXIF data (no lens info, no exposure settings = likely AI)
- Encoding software and processing pipeline indicators
- UserComment and ImageDescription fields with AI generation prompts
FAQ
How accurate is metadata-based AI detection?
Metadata analysis is highly reliable when AI signatures are present — they are difficult to fake. However, metadata can be stripped, so absence of AI markers doesn't guarantee a real photo. This tool is best used alongside visual inspection.
What is C2PA?
C2PA (Coalition for Content Provenance and Authenticity) is a standard for embedding verifiable content credentials into media files. Major AI tools and cameras are adopting it to prove content origin.
Can AI-generated images have no metadata?
Yes. Metadata can be stripped by social media platforms, messaging apps, or intentionally by the user. If an image has no metadata at all, it's inconclusive — the tool works best with original, unmodified files.