AICheck365 Blog: AI Detection and Provenance
Evidence-first articles about AI content marking, C2PA, metadata, platform signals, and the limits of automated detection.
Updated featured analysis
Claude Watermark Explained: How It Works, EU Exceptions and Detection Limits
Updated after Anthropic’s revised explanation: learn why the mark is a statistical word-choice pattern—not hidden Unicode—what the planned detector API could prove, and how standard editing, code, short text, SynthID, and C2PA differ.
More articles
How to Tell If an Image Is AI-Generated
Read C2PA Content Credentials, EXIF/XMP, and PNG generation parameters from the original file instead of relying on visual guesses.
Read the article →How to Check If a Video Is AI-Generated
Check an original MP4/MOV for C2PA, container metadata, SEI markers, file-name clues, and sampled frame watermarks.
Read the article →How to Check If a Gemini Image Is AI-Generated
Inspect Gemini and Google AI files for C2PA, digitalSourceType, claim generator strings, XMP fields, and the limits of SynthID attribution.
Read the article →AI Image Metadata Explained: EXIF, XMP, C2PA and PNG
Where AI platforms write provenance data, how each field should be interpreted, and what disappears after sharing or re-exporting.
Read the article →What Is C2PA? Content Credentials Explained
How signed provenance manifests work, what validity and trust mean, and why missing credentials do not prove human origin.
Read the article →