Authenticity checks need context
A real photo can be edited, an AI image can be post-processed, and a screenshot can remove almost every original clue. ImgShield focuses on visible evidence so you can document what is known, what is missing, and what still needs review.
Evidence ImgShield can surface
- AI-generation metadata such as prompt fields, model names, seeds, and workflow tools.
- Camera and capture metadata that can support a real-photo interpretation.
- C2PA or JUMBF provenance statements when the image includes them.
- Editing hints and missing metadata that should be evaluated with caution.
A practical review workflow
- Start with the original file, not a screenshot or compressed preview.
- Run the ImgShield check and save the explanation.
- Compare the result with the source URL, author, publish date, and surrounding claim.
- Use reverse image search to find older copies or higher-quality originals.
Related ImgShield pages
- AI generated image checker
- AI image detection tool
- AI photo checker
- How to tell if an image is AI generated
A missing metadata field is not proof of manipulation. Treat it as one clue in a wider authenticity review.