About the Scanner
Building automated open-access technical diagnostics to help developers test technical transparency implementations.
Our Purpose
The European Union Artificial Intelligence Act (Regulation (EU) 2024/1689) establishes transparency obligations under Article 50. Implementing these technical requirementsâsuch as machine-readable metadata and chatbot disclosuresâcan be difficult to verify manually.
We built this tool to provide developers with instant, objective, client-side technical diagnostics. It inspects HTML DOMs for known chatbot scripts, verifies metadata using ExifReader, and uses LLMs to search for disclosure text.
Technical Audit Methodology
DOM Parsing
Our engine parses client-side HTML against known conversational AI script signatures (e.g., Intercom, Zendesk) to verify the presence of chatbot UI elements.
Metadata Inspection
Image assets are fetched and inspected using ExifReader for C2PA (Coalition for Content Provenance and Authenticity) manifests and standard IPTC/EXIF tags.
Text Analysis
Extracted DOM text is evaluated using Gemini 2.5 Flash to search for phrases that match standard AI transparency disclosures and usage policies.
Developer Background
This platform is built and maintained by independent web developers interested in the intersection of AI technology and web standards. We do not claim any official government affiliation or formal certifications.