Evinced

Evinced is an AI-powered accessibility testing platform designed to help development teams keep websites and mobile apps accessible at scale. Unlike traditional accessibility tools that only scan code for syntax-level issues, Evinced uses computer vision and AI to see each screen the way a sighted human would, uncovering critical problems that other tools miss. It automatically clusters and prioritizes hundreds of issues into actionable coding problems, and continuously tracks them across scans to eliminate duplicate reporting.

Key Features:

• AI-Powered Detection — Uses computer vision to analyze screens visually, finding accessibility issues that code-only scanners cannot detect, including those previously requiring manual audits.
• Issue Clustering & Prioritization — Automatically groups related bugs into common coding problems so teams can fix root causes rather than individual instances.
• Continuous Tracking — Compares results across scans to avoid re-reporting unresolved issues and measures time-to-fix for resolved ones.
• Web Flow Analyzer — A browser extension that scans entire user flows on web applications, not just static pages.
• Mobile Flow Analyzer — A desktop app that scans mobile app user flows on iOS and Android.
• Automation SDKs — Integrates with existing automated testing frameworks including Selenium, Cypress, WebdriverIO, XCUITest, Espresso, and Appium.
• Design Assistant — A plugin for design tools that helps create and hand off accessible designs before development begins.
• Unit Tester — An SDK that writes accessibility unit tests directly inside a developer's IDE.
• Site Scanner — A service to scan entire websites and web applications for accessibility issues.
• Debugger — A browser extension for pre-commit accessibility checks during development.
• MCP Tools — Model Context Protocol tools for integrating Evinced's accessibility intelligence into AI-powered workflows.
• Chatbot — An AI assistant for accessibility guidance and support.