Screen Reader Testing Tool

Approximately 7.6 million Americans have a visual disability, with 2 million being completely blind. Screen readers — software that converts visual content to speech or Braille — are their primary means of accessing the web. When your website fails screen reader testing, you are excluding millions of potential users and customers.

Screen reader compatibility is also the most common basis for ADA lawsuits. Plaintiffs' attorneys typically test websites with NVDA or JAWS and document the specific barriers blind users encounter. The most frequently cited issues in ADA complaints include missing alt text on images, unlabeled form fields, inaccessible navigation menus, and improperly structured headings — all issues that CompliScan's automated scanning detects.

CompliScan's axe-core engine tests the technical requirements that make screen reader navigation possible:

• Image alt text — every <img> must have meaningful alt text or be explicitly marked decorative
• Form labels — every input field must have a programmatically associated <label> that screen readers announce
• Heading hierarchy — headings (H1-H6) must follow a logical descending order for screen reader heading navigation
• ARIA attributes — roles, states, and properties must be valid, complete, and correctly applied
• Landmark regions — <nav>, <main>, <header>, <footer> enable screen reader landmark navigation
• Link and button text — every link and button must have accessible text content (not empty or generic)

CompliScan's AI fix suggestions go beyond identifying issues: when a form field lacks a label, the AI suggests the specific label text and markup to add. When an ARIA attribute is misused, the AI explains the correct implementation. This closes the gap between detection and remediation.

CompliScan's scans frequently reveal these screen reader-breaking patterns across websites of all sizes:

• Icon buttons without text — hamburger menus, search icons, and social media links that are <button> or <a> elements containing only an SVG or icon font with no accessible name
• Custom JavaScript widgets — dropdowns, modals, tabs, and accordions built without ARIA roles and state management, making them invisible to screen readers
• Dynamic content updates — AJAX-loaded content, toast notifications, and live updates that change the page without announcing the change via ARIA live regions
• Table accessibility — data tables without <th> headers, <caption> elements, or scope attributes, making tabular data incomprehensible via screen reader

These issues affect every major screen reader — NVDA, JAWS, VoiceOver, TalkBack, and Narrator. CompliScan catches the technical violations; manual screen reader testing verifies the fix quality.

The most effective screen reader testing workflow combines CompliScan's automated detection with manual screen reader verification:

• Step 1: Run a free CompliScan scan — identify all automated-detectable screen reader issues (missing labels, broken ARIA, empty links, missing alt text)
• Step 2: Implement AI fix suggestions — apply CompliScan's code fixes to resolve detected violations
• Step 3: Manual screen reader test — navigate the fixed pages with NVDA or VoiceOver to verify the fixes work and check for issues automation cannot detect (reading order, alt text quality, interaction flow)
• Step 4: Monitor with CompliScan — paid plans from $49/month catch screen reader-relevant regressions (new images without alt text, broken ARIA after updates)

This approach fixes the most impactful screen reader issues first (the ones CompliScan detects), then uses manual testing to catch the nuanced issues. It is the most time-efficient path to screen reader compatibility.