*ARC Toolkit Browser Extension – Accessibility Testing with NVDA*
*Introduction*
ARC Toolkit is a free browser extension for Google Chrome and Microsoft Edge that helps evaluate website accessibility and identify issues based on WCAG standards. It is a valuable tool for accessibility testers, developers, QA professionals, and screen reader users.
*Key Features*
* Detect accessibility violations on web pages.
* Review page headings, landmarks, forms, links, images, and ARIA information.
* Analyze page structure and accessibility semantics.
* Helps improve website accessibility and compliance.
*How to Install ARC Toolkit*
1. Open Chrome or Edge.
2. Visit the browser extension store.
3. Search for “ARC Toolkit.”
4. Install the extension and pin it to the toolbar for easy access.
*How to Use ARC Toolkit with NVDA*
1. Open the webpage you want to test.
2. Press Alt+D to move to the address bar, then press Shift+Tab until you reach the ARC Toolkit extension button on the toolbar.
3. Press Enter or Space to activate the extension.
4. The ARC Toolkit panel will open.
5. Use Tab and Shift+Tab to navigate through available controls and options.
6. Use Arrow Keys, NVDA+B, and NVDA navigation commands to read information within the panel.
7. Review accessibility issues, page structure, landmarks, headings, forms, and images.
8. Navigate through issue categories and examine details for each reported problem.
9. Use the information provided to understand and remediate accessibility barriers on the page.
10. Refresh the webpage and rerun the analysis after making changes to verify improvements.
*Useful NVDA Commands During Testing*
* NVDA+F7 – Open the Elements List (Headings, Links, Form Fields).
* D / Shift+D – Move between landmarks.
* H / Shift+H – Move between headings.
* F / Shift+F – Move between form fields.
* K / Shift+K – Move between links.
* NVDA+B – Read the current dialog or window.
* Tab / Shift+Tab – Navigate controls within the ARC Toolkit panel.
*Tip*
Combine ARC Toolkit findings with manual testing using NVDA. Automated tools can identify many accessibility issues, but manual screen reader testing is essential for evaluating the actual user experience.
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