Scan any public URL
Run a browser-based automated audit against public websites.
WCAG-focused automated scans
Accessibility Checker
Scan public websites for common accessibility issues, review impact by severity, and get practical recommendations your team can act on.
Automated scanning catches many issues, but manual testing is still required for WCAG compliance decisions.
Accessibility score
86
Total issues
14
Critical
2
Manual checks
Keyboard, screen reader, forms
Find missing alt text
Flag images that need useful text alternatives.
Detect contrast issues
Surface text color contrast failures from axe-core.
Check keyboard navigation
List focusable controls, positive tabindex, and manual test targets.
WCAG-based report
Group issues with WCAG tags, impact, affected selectors, and fixes.
Export report
Download a colorful PDF report and create Jira-ready issue drafts.
Ready-to-share outputs
Turn scan findings into artifacts your team can use.
Generate client-ready reports and Jira ticket drafts from the same accessibility scan, so issues are easier to review, assign, and fix.
Jira ticket draft sample
Copy-ready issue format
Moderate accessibility issue
A11y: Content Not Contained Within a Landmark Region
Issue
An accessibility scan identified content that is not contained within a landmark region.
Selector
.hero-intro-message
WCAG tags
Best Practice
Fix Recommendation
Move the intro message into the main landmark so screen reader users can find it through landmark navigation.
Acceptance Criteria
- The content is inside a valid landmark region.
- Automated scans no longer report the issue.
- Screen reader users can navigate to the content.
Copy for JiraDownload .txt
PDF report sample
Colorful client-ready summary
Accessibility Checker Report
Automated accessibility report
Score 86/100
14
Total
2
Critical
5
Serious
7
Moderate
Manual testing required
Automated scanning catches many common issues, but manual keyboard and assistive technology testing is still required.
Serious
Text should have sufficient color contrast
Recommendation: increase contrast between foreground text and background.
Start with an automated scan.
Then follow up with manual keyboard and assistive technology testing.