A11y Audit

Accessibility audits typically produce dense technical output that is useful for developers but difficult to act on for clients and stakeholders. A11y Audit addresses this by crawling a site, running a full automated compliance scan via headless browser, and generating two distinct outputs from the same results: one for the development team and one for the client.

The tool takes a website URL, crawls the target pages, and runs automated WCAG compliance scans. Once the scan completes, an AI model generates a plain-language summary of the violations, translating technical findings into something meaningful for non-technical stakeholders. The result is a developer report with violation details and remediation guidance, and a client-ready document suitable for presenting in reviews or submitting as part of a compliance process.

Each scan spins up a fresh Docker container via AWS Fargate on demand. The container runs the full scan, produces the output, and tears itself down when done. No persistent scanner infrastructure runs between jobs, which keeps costs low and removes any state bleed between runs.