Applitools

Applitools' core Visual AI engine compares rendered UI screenshots against stored baselines using machine learning trained on 4 billion app screens, automatically filtering out irrelevant pixel differences (anti-aliasing, font rendering, animations) while flagging meaningful layout, color, and content changes. The system uses proprietary visual hashing and region-based analysis to distinguish cosmetic noise from functional regressions, eliminating false positives that plague traditional pixel-perfect screenshot comparison.

Applitools Autonomous platform uses natural language processing and UI automation to generate functional test cases from plain English descriptions or recorded user interactions, automatically inserting Visual AI checkpoints at key UI states. The system learns test patterns from your application and can auto-generate tests by crawling your site, identifying user journeys, and creating executable test code without manual scripting.

Applitools offers three deployment models: Public Cloud (shared SaaS), Dedicated Cloud (customer-isolated cloud instance), and On-Premises (Eyes product only, behind firewall). Organizations can choose deployment based on security, compliance, and data residency requirements, with pricing and features varying by model.

Applitools charges based on Test Units — a consumption metric where each visual test execution or page comparison consumes one unit. Monthly allocation varies by tier (Starter: 50 units, Public Cloud: 50+ units, custom tiers available), with unused units expiring at month end. This model allows teams to pay for actual usage rather than per-user licensing, but creates unpredictable costs if test volume spikes.

Applitools supports testing individual UI components (buttons, forms, modals, etc.) in isolation using component testing frameworks (Storybook, Cypress Component Testing, Playwright Component Testing). Teams can validate component visual appearance and behavior without rendering full pages, enabling faster feedback and easier debugging of component-level regressions.

Applitools supports visual testing of native iOS and Android mobile applications using Appium or native mobile testing frameworks, capturing screenshots from real devices or emulators and comparing against baselines using Visual AI. Teams can validate mobile UI across device sizes, orientations, and OS versions without manual testing.

Applitools' self-healing capability automatically detects when UI element locators (CSS selectors, XPath) become stale due to DOM changes and suggests or applies fixes without manual test code updates. The system uses AI to understand element intent (e.g., 'login button') rather than brittle selectors, allowing tests to adapt to minor DOM restructuring, CSS class changes, or attribute modifications while preserving test logic.

Applitools Ultrafast Test Grid executes tests in parallel across 500+ browser/OS/device combinations (Chrome, Firefox, Safari, Edge on Windows/Mac/Linux, plus iOS and Android devices) without requiring separate test code for each configuration. Tests run once locally or in CI/CD, then Applitools distributes execution across cloud infrastructure, capturing screenshots for each environment and comparing against baselines using Visual AI.

Applitools integrates accessibility testing into visual test execution, automatically checking for WCAG 2.1 (AA and AAA) compliance issues including color contrast, alt text presence, heading hierarchy, keyboard navigation, and ARIA attribute correctness. The system flags accessibility violations alongside visual regressions in a single test report, allowing teams to catch accessibility bugs in the same workflow as functional testing.

Applitools extends visual testing beyond web UIs to PDF documents and generated reports, capturing PDF renderings as images and comparing against baselines using Visual AI. This enables teams to validate PDF generation, report formatting, invoice layouts, and document compliance without manual inspection, catching rendering issues across PDF readers and platforms.

Applitools provides native SDKs for 30+ test frameworks and programming languages (Selenium, Cypress, Playwright, WebdriverIO, Appium, etc.), allowing developers to integrate visual testing into existing test code with minimal changes. SDKs expose simple APIs (e.g., `eyes.check()`) that capture screenshots, send to cloud for Visual AI processing, and return pass/fail results, abstracting away baseline management and diff logic.

Applitools integrates with CI/CD platforms (GitHub Actions, CircleCI, Jenkins, GitLab CI, etc.) to automatically execute visual tests on every commit, pull request, or scheduled trigger. Tests run in parallel across the Ultrafast Test Grid, results are reported back to CI/CD with pass/fail status, and visual diffs are linked in pull request comments for easy review by developers.

Applitools stores test execution history and provides dashboards showing test pass/fail trends, flakiness metrics, execution time trends, and visual change history over time. Teams can analyze which tests are most frequently failing, identify flaky tests, track visual regression patterns, and correlate test failures with code changes using git integration.

Applitools provides a visual test recorder that allows non-technical users to record user interactions by clicking through an application, automatically capturing screenshots and inserting Visual AI checkpoints at key steps. The recorder generates executable test code without requiring manual scripting, supporting both web and mobile applications.