A small family of accessibility-testing tools, all Bob-owned and open-source, that approach the same problem space from three angles: AI-driven, runtime DOM-based, and described-not-demoed. Each has its own scope and limits, and each is honest about both. Paradise — the source-level multi-model analyser — is intellectually the deepest work of this kind and lives at its own top-level entry. The three tools here are its companions.
A GPL-3.0 Chrome DevTools extension that tests pages for accessible-name conformance against WCAG 4.1.2. Runtime testing against the rendered DOM, focused on one criterion in depth rather than a broad sweep. Demonstrated at a11yTO Accessibility Camp 2024.
Bob-owned. Open source. The runtime counterpart to Paradise’s source-level analysis.
Five proof-of-concept demonstrations of AI-driven accessibility testing applied to specific classes of issue commercial scanners cannot reach. Each demo lands with the verbatim Claude prompt, the captured response, and an honest discussion of what worked and what didn’t. Language detection, headings, positioning, interactivity, modal dialogs.
Bob-owned. Open source. Research-in-progress, not a tool catalogue — the framing matters.
Audio-and-video AI analysis of lived-experience tester recordings: a five-stage pipeline (FFmpeg splits / Deepgram transcription / pyannote speaker identification / Claude analysis with extended context) producing structured, WCAG-mapped reports with time-indexed callouts. The CNIB-owned production tool is described here; a Bob-owned research line adds Qwen 3.5 (Alibaba’s vision-language model, via API) for analysis of screen recordings of user interaction — the video/vision counterpart to Claude’s audio analysis.
CNIB-owned production tool; Bob-owned research line in development. Described, not demoed.