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glossary

ARIA Label

An attribute that provides accessible names for elements, especially icons and buttons without visible text.

Last updated: December 16, 2025

Definition

An attribute that provides accessible names for elements, especially icons and buttons without visible text.

Why It Matters

Understanding this concept is crucial for implementing accessible, user-friendly interfaces that comply with web standards.

Examples

Common real-world implementations and usage patterns for this concept.

Best Practices

  • Follow WCAG guidelines when applicable
  • Test with assistive technologies
  • Document your implementation decisions

FAQ

What is aria label for icon buttons?

For ARIA Label, start with a quick audit, then validate the issue manually with real users or assistive tech. Use a focused checklist and document what changes when you remediate the issue.

How do you fix aria label for icon buttons?

For ARIA Label, start with a quick audit, then validate the issue manually with real users or assistive tech. Address aria label for icon buttons by fixing the root cause, then re-test the exact flow to confirm the issue no longer reproduces.

How do you test for aria label for icon buttons?

For ARIA Label, start with a quick audit, then validate the issue manually with real users or assistive tech. Run automated checks, then verify by hand (keyboard, screen reader, or device-specific checks) to catch edge cases.

What is focus visible indicator?

For ARIA Label, start with a quick audit, then validate the issue manually with real users or assistive tech. Use a focused checklist and document what changes when you remediate the issue.

How do you fix focus visible indicator?

For ARIA Label, start with a quick audit, then validate the issue manually with real users or assistive tech. Address focus visible indicator by fixing the root cause, then re-test the exact flow to confirm the issue no longer reproduces.

How do you test for focus visible indicator?

For ARIA Label, start with a quick audit, then validate the issue manually with real users or assistive tech. Run automated checks, then verify by hand (keyboard, screen reader, or device-specific checks) to catch edge cases.

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