a11y-audit

Automate WCAG 2.2 compliance checks by running static code analysis to identify Level A and AA violations across your codebase. The tool scans project paths to detect accessibility issues and suggests specific code changes to resolve them.

Fix accessibility violations by applying framework-specific before and after code changes suggested by the audit. After modifying the code, run a verification step to confirm the fixes resolve violations and prevent regressions.

You can integrate automated accessibility scanning into your CI/CD pipelines for continuous compliance checks. This ensures that WCAG 2.2 Level A and AA violations are automatically detected during the build process.

You need a Python environment with specific libraries like a11y_scanner.py and contrast_checker.py to scan for WCAG compliance issues. These dependencies perform the static code analysis and contrast verification required for the audit.

The best way to generate structured accessibility compliance reports is by using an automated audit tool that documents WCAG 2.2 violations and their corresponding fixes. This provides clear verification records for stakeholders.

Your web accessibility audit needs contrast checking to ensure text meets WCAG 2.2 Level AA visual requirements. Automated contrast_checker.py scripts evaluate color ratios to identify violations that static code analysis alone might miss.