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AI-powered WCAG criteria mapping for accessibility issues WCAG Picker helps you connect a real accessibility problem to the WCAG success criteria behind it. Describe what you ran into, in your own words, and it returns the criteria that apply along with a short, ready-to-paste summary. Open it on any page from the toolbar. Type something like "the submit button has no visible focus outline when I tab to it" and you get the relevant criteria (here, 2.4.7 Focus Visible), the level, and a plain explanation you can drop into a ticket. What you can do: - Get WCAG A and AA criteria for any issue you describe. Turn on AAA or EN 301 549 references when you need them. - Add context (browser, OS, assistive technology, device) for sharper results. - Save issues to a collection and attach screenshots. - Export your collection as CSV, Markdown, JIRA text, HTML, or JSON, and import it back later. - Who it's for: developers, QA, designers, and accessibility specialists who want to go from "this feels broken" to the specific criterion fast. Note: WCAG Picker uses an AI model to generate suggestions. Treat results as a starting point and review them with human judgment.
Jul 19, 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.