accessibility-checker

Run a page-level audit that checks document structure (lang, title, headings, landmarks), skip navigation, tab order, form labeling, image alternatives, and link text against numbered WCAG success criteria. Combine automated tools like axe-core with manual keyboard and screen reader testing.

Associate every input with a visible label element using the for attribute rather than relying on placeholder text, which disappears on input and has poor contrast. Identify input errors in text and connect error messages to their fields so screen readers announce them.

Level A covers minimum requirements like keyboard access and text alternatives, Level AA is the standard target including 4.5:1 text contrast and visible focus indicators, and Level AAA adds enhanced criteria like 7:1 contrast. Most legal frameworks such as ADA and EN 301 549 reference Level AA.

No, automated tools catch only about 30% of accessibility issues. Barriers like logical tab order, meaningful alt text, and sensible focus management require human judgment, so automated scans must be paired with manual keyboard and screen reader testing.

Always prefer native HTML semantics first, since elements like button and dialog provide focusability, keyboard activation, and roles for free. Use ARIA only when native elements cannot express the pattern, because ARIA overrides are fragile and inconsistently supported across assistive technologies.