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Most organizations should run accessibility scans weekly — sites with frequent updates may need daily scans, while static sites can scan biweekly or monthly.

Keyboard testing in an accessibility audit evaluates whether every interactive element on a page can be reached and operated without using a mouse or pointer.

Screen reader testing uses assistive technology to evaluate how a page communicates content and structure to blind users — work automated scans cannot replicate.

Automated accessibility scans detect approximately 25% of accessibility issues on a web page — the remaining 75% requires human evaluation by a professional.

AI accessibility scanning is not yet a replacement for traditional automated scans or human audits — AI engines flag more potential issues but with high false positives.

Accessibility scan false positives flag issues that do not actually exist — they appear in nearly every scan report, and recognizing them is core to interpreting results.

No — automated scans cannot replace an accessibility audit. Scans detect about 25% of WCAG issues; the remaining 75% requires human evaluation only an audit provides.

Automated scan accessibility issues are those that can be determined programmatically from HTML, CSS, and ARIA — about 25% of all WCAG conformance issues.

The accessibility scan detection rate is approximately 25%, consistent across browser, API, and open-source scanners. The remaining 75% requires human evaluation.

An ADA compliance checker is an automated tool that loads a page, reads its HTML, CSS, and ARIA, and flags elements that fail specific WCAG conformance rules.

Standard accessibility scans cannot reach login-protected pages — evaluating them requires configuring the scanner with an active, authenticated session for the scope.

An open-source accessibility scanner is a freely available tool evaluating pages against WCAG — developers can modify, extend, and integrate the tool into workflows.