6 items
Scan pages for ARIA accessibility anti-patterns and identify likely component-library origins using DOM fingerprints. aria-reach scans the current page for ARIA accessibility anti-patterns. When an affected element (or one of its ancestors) carries a recognized component-library fingerprint, aria-reach labels the finding with its likely originating library, so you can trace the issue to the upstream package instead of patching each page. Attribution is heuristic and may be unavailable or require manual confirmation. The browser extension checks three classes of issue drawn from real-world library bugs: • Decorative Noise — decorative elements announced as content • Live-Region Urgency — routine updates announced with "assertive" urgency that interrupts the screen reader • Widget Role Contract — e.g. aria-pressed where aria-selected is required; listboxes with no option semantics Findings include severity, a DOM selector, remediation guidance, and relevant WAI-ARIA or WCAG references where applicable. Use the highlighting feature to locate affected elements on the page. aria-reach supports targeted WCAG and Section 508 accessibility review; it does not certify complete compliance or replace manual screen-reader testing. All analysis occurs locally in the browser. No page content or user data is collected or transmitted. Open source (MIT): https://github.com/manichandra/aria-reach
Jul 10, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.