Automated Accessibility Testing
Automated accessibility testing uses software to identify detectable accessibility problems in a website or application.
It can quickly surface technical issues across many pages, but it cannot determine whether a website is fully accessible on its own.
What It Checks
Depending on the tool, automated testing may identify issues involving:
- Missing accessible names
- Colour contrast
- Invalid or inappropriate ARIA
- Missing image alternatives
- Document structure
- Form labels
- Certain semantic HTML problems
The exact checks depend on the tool and testing environment.
How It Works
Automated tools inspect the page's markup, styles, accessibility information, and other machine-detectable properties.
Some run inside a browser. Others can be incorporated into development workflows or used to scan multiple pages.
Tools such as Lighthouse can make useful issues visible quickly, but the resulting report still needs interpretation.
Why It Matters
Automation is efficient.
It can identify repeated failures, help developers catch regressions, and make large sites easier to inspect.
It is particularly useful for finding patterns that originate in shared templates and components.
Common Limitations
Automated testing cannot reliably determine things such as:
- Whether alt text appropriately communicates an image's meaning
- Whether navigation makes sense
- Whether focus moves logically
- Whether instructions are understandable
- Whether a complete interaction is usable
- Whether the site as a whole conforms to WCAG
A clean automated report is therefore not proof that a site is accessible.
How to Improve
Use automated testing as one layer of an accessibility audit.
Review findings in context, identify repeated causes, and follow automated checks with manual accessibility testing.