TRUST Review

TRUST Review helps researchers and educators conduct structured evaluations of information tools — search engines, academic databases, and AI assistants — using the TRUST Framework developed at the University of Twente.

Everything happens inside a browser sidebar:

• Capture evidence — screenshot the active tab at native resolution and archive the page HTML.
• Annotate — draw arrows, boxes, labels, and freehand strokes over captures with a built-in canvas editor.
• Score — evaluate each rubric principle on a 0–3 scale (with N/A and "unsure"), attaching the captured evidence directly to each item.
• Export — finish with a self-contained review package: CSVs of scores/metadata plus a standalone HTML report (fully inlined, viewable anywhere).

Privacy. The extension is fully local. There is no backend, no account system, and no analytics or telemetry — all sessions, screenshots, and exports live in the browser's IndexedDB and never leave the machine. The only outbound connection is to a vendor CDN (cdn.tldraw.com) that serves UI translations for the annotation canvas; no user data is sent there.

Built with WXT and React. Source code is public under the Apache-2.0 license at https://github.com/utsmok/review-extension.