WARD Live

Audit the page you are on against WCAG 2.1 and 2.2 and see where it sits among 135,604 civil society homepages.

WARD Live checks the accessibility of the web page you are looking at and tells you three things most checkers leave out: how the page compares with thousands of similar sites, what changes when the standard moves from WCAG 2.1 to WCAG 2.2, and what someone without technical training could fix. Click the icon on any page and WARD Live will - evaluate the page under WCAG 2.1 AA and WCAG 2.2 AA from a single fetch, side by side, and explain what the move to 2.2 changes for this page - place the result in the distribution of 135,604 civil society homepages audited in the United Kingdom, Australia, the United States, New Zealand and Ireland, telling you what share of them had fewer and what share had more violations - list each violated criterion with a plain-language explanation of what was detected, who it affects and how to fix it, with a link to the W3C guidance - outline the offending elements on the page itself so you can see where the problems are - open the full report, which turns the violations into remediation tasks split between content editors and developers, with acceptance criteria and a CSV download WARD Live uses WARD, the open-source checker behind a published five-country census of civil society websites. The rules are the same ones used for the census, so every number you see is on the same scale as the published dataset. WARD is a static checker. It reads the page as served and does not run scripts, so it reports a floor: colour contrast and anything that needs a rendered page are outside its scope. A clean result means the page passes the machine-checkable rules, not the whole standard. WARD Live is free, open source and carries no advertising or analytics. It is developed at the Institute for Data and AI Research, University of Galway, Ireland. The extension sends only the address of the current page to the WARD Live server, which fetches the page itself and returns the result. Nothing else leaves your browser. Code and data: https://github.com/sohaibayub/ward-live Census dataset: https://doi.org/10.5281/zenodo.23529469