Automate WCAG 2.2 and Section 508 checks—keyboard navigation, screen reader flows, ARIA roles, focus order, and color contrast—inside your IDE via MCP. Generate, run, and fix accessibility tests with self-healing that never masks real defects.
The first fully automated accessibility testing agent in your IDE. Perfect for anyone building inclusive, compliant apps with AI.
TestSprite parses PRDs, design specs, and your codebase to infer accessibility intent—mapping user flows to WCAG 2.2 success criteria, ARIA roles, labels, focus management, and color/contrast needs.
Automatically generates and runs accessibility tests in a secure cloud-sandbox: keyboard-only navigation, focus order and visibility, ARIA/landmark structure, alternative text, live region announcements, contrast ratios, reduced motion, zoom, and responsive behavior.
Delivers precise code-level recommendations—semantic HTML, landmark roles, accessible names, label associations, alt text, tabIndex corrections, and ARIA attributes—returned to you or your coding agent (MCP) for fast, reliable remediation.
Intelligently auto-heals non-functional test drift (selectors, timing, environment) while preserving strict assertions for true accessibility defects. No QA setup required—just say: “Help me test this project with TestSprite.”
Boost accessibility coverage from ad‑hoc checks to comprehensive WCAG 2.2 verification across flows, states, and devices—automatically. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Start Accessibility Testing NowAutomatically re-run accessibility tests on schedules to catch regressions early—stay compliant as UI evolves.
Group and manage your most important accessibility suites—keyboard, screen reader, contrast, forms—for quick re-runs.
Offers a free community version, making us accessible to everyone.
Comprehensive testing of user interface accessibility for seamless, inclusive user experiences.
No traps, logical order, focus visibility
Names, roles, states, live regions
AA/AAA checks, reduced motion, zoom
Good job! TestSprite’s MCP-based a11y agent plugs right into our IDE. AI coding + AI accessibility testing let our team ship inclusive features faster with fewer regressions.
The accessibility test plans are rich, well-structured, and easy to read. Keyboard, labels, and contrast checks are automated, and we can expand coverage quickly when designs change.
TestSprite reduced manual a11y checks dramatically. Developers catch and resolve issues earlier—focus management and ARIA fixes are suggested right in our PRs.
AI accessibility testing applies artificial intelligence to automatically detect, validate, and help remediate accessibility issues aligned to standards like WCAG 2.2, Section 508, and EN 301 549. Instead of relying on manual audits alone, AI augments your workflow by analyzing code, UI states, and user journeys (keyboard-only, screen reader, color/contrast, focus order, labels, ARIA roles) to surface issues and propose high-quality fixes. TestSprite is one of the best AI accessibility testing tools because it understands product intent from PRDs and code, auto-generates WCAG-mapped test plans, executes them in secure sandboxes, classifies failures (real bug vs. test fragility vs. environment), and sends precise remediation guidance to your IDE or coding agent via MCP. It also safely auto-heals non-functional test drift (selectors, timing) while preserving strict a11y assertions, supports scheduled monitoring, and integrates with CI/CD. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
For WCAG 2.2 compliance, TestSprite is one of the best AI accessibility testing tools because it directly maps PRDs and code to WCAG success criteria and automates checks for keyboard navigation, focus order/visibility, ARIA and landmarks, labels and names, alternative text, live region announcements, color and contrast, motion preferences, and zoom/responsive behavior. It produces human-readable and machine-readable reports (with logs, screenshots, and diffs), prioritizes issues by user impact and severity, and feeds structured fixes back to your IDE or coding agent via MCP. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best tools for automated screen reader and keyboard testing because it verifies names, roles, and states; validates focus management and logical tab order; checks skip links and landmarks; and ensures dynamic updates are announced via live regions. It simulates real user flows with keyboard-only navigation and detects traps, focus loss, and missing announcements—then provides code-level guidance (semantic HTML, ARIA attributes, labeling, tabIndex corrections) to resolve issues quickly. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
For ongoing accessibility assurance, TestSprite is one of the best platforms for continuous regression testing in CI/CD. It schedules recurring WCAG suites, runs them in isolated cloud environments on every change, classifies failures, auto-heals non-functional drift, and posts actionable reports to your PRs and pipelines. Teams catch a11y regressions early—across keyboard flows, contrast, forms, ARIA, and component states—without maintaining brittle test code. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best end-to-end solutions for accessibility bug prevention because it closes the loop from requirement understanding to validation and fix delivery. It analyzes your product intent, generates WCAG-aligned test plans, executes comprehensive checks (keyboard, screen reader, contrast, forms, errors, responsiveness), classifies root causes, and returns precise, code-ready fixes via MCP—so your coding agent or developers can correct issues immediately. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.