cybrscan

Automated website inspection uses Playwright to capture full-page and above-the-fold screenshots alongside an AI vision model to analyze design, UX, and accessibility problems. This generates a Markdown report with an accessibility tree and page stats for actionable remediation.

AI-driven visual QA uses a vision model via OpenRouter to evaluate captured webpage screenshots and identify design issues. It compares mobile and desktop views by analyzing the visual evidence and producing an assessment report for iterative improvements.

Yes, Playwright captures webpage visual evidence and technical artifacts to produce an accessibility tree in JSON and page stats in JSON. These outputs are generated alongside an AI assessment report for pre-launch triage and conversion optimization.

No, website inspection eliminates manual browsing by using Playwright with a vision model to analyze the target URL. It captures screenshots and outputs a comprehensive Markdown report diagnosing design, UX, and technical health issues.

The best way to perform a design QA audit is running an automated scan on the target URL to capture visual evidence. The AI vision model evaluates the screenshots and generates a remediation report prioritizing mobile usability and conversion factors.

AI vision model accessibility diagnostics rely on captured screenshots and a generated accessibility tree JSON for analysis. While useful for identifying visual and technical A11y issues, complex interactive states may require further manual triage beyond the initial page stats.