What Automated Accessibility Scans Miss
Automated accessibility scans are useful, but they cannot prove compliance. The best use is to find repeatable technical risks, prioritize fixes, and decide where human review is needed.
Updated 2026-07-07
Keyboard and screen reader journeys
Tools can detect some missing names or landmarks, but they cannot fully judge whether a keyboard-only or screen-reader user can complete a real checkout, support request, or account task.
Meaning and quality
A scanner can detect that an image has an alt attribute, but it cannot always decide whether the text is meaningful. The same applies to content clarity, error recovery, and instructions.
PDFs, authentication, and edge cases
PDF tagging, reading order, authenticated flows, payment provider steps, dynamic widgets, and country-specific legal interpretation require manual review.
False positives and false negatives
Automated findings should be treated as evidence for review. Some findings may be false positives, and some real barriers may be missed. Human-reviewed audits exist to verify the highest-risk areas.
Important note
This guide is educational and supports technical accessibility planning. It is not legal advice, does not certify compliance, and should be paired with manual review where risk matters.