Applitools visual regression testing captures a rendered UI at defined checkpoints, compares each image with a saved baseline, and sends the differences to a person for approval or rejection. The initial run creates the baseline; subsequent runs reveal unexpected changes. Applitools Eyes adds this workflow to your existing browser, component, mobile, PDF, or image tests through framework-specific SDKs.
Visual checks complement functional assertions. A test can prove that a button is present and clickable, while a visual checkpoint can reveal a shifted layout, changed font, clipped text, broken image, or unintended color change.
What Applitools visual regression testing does
Applitools describes visual testing as regression testing that ensures previously correct screens have not changed unexpectedly. The repeatable Eyes loop is:
- Drive the interface into a meaningful state. Log in, open a route, select a tab, populate a form, or otherwise create the state users should see.
- Capture a checkpoint. The SDK sends a screenshot and identifying information to Eyes.
- Compare with the baseline. On the first run, the checkpoint has no prior image, so Eyes stores it as the baseline. Later runs compare new renders with that reference.
- Inspect the result. Review differences in the dashboard using side-by-side or toggle views.
- Resolve the difference. Accept an intentional design or content change and save the new image as the baseline, or reject it and keep the old baseline when the difference indicates a defect.
Baseline approval is a product and team decision, not an automatic assertion that every pixel must remain unchanged. A comparison engine identifies candidate changes; a reviewer decides whether each change is correct.
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What you need before adding Eyes
- A repeatable test or component-rendering workflow that can reach the states you want to protect.
- An Applitools account and API key configured through the SDK’s supported environment-variable or configuration method.
- A selected SDK matching your language, framework, and target. The official chooser covers web, component, mobile, and PDF/image scenarios, with options such as Cypress, Playwright TypeScript Fixtures, Selenium Java, and WebdriverIO.
- Stable test data and deterministic rendering where possible. Moving timestamps, randomized content, rotating advertisements, and animation create differences that are difficult to review.
Check the current SDK chooser for the exact package and setup instructions for your stack; framework support and package names can change.
Choose a match level for the risk you want to detect
Match levels are not a quality ranking. They define which visual changes matter for a particular test.
| Match level | What it emphasizes | Good fit | Trade-off |
|---|---|---|---|
| Strict | Close visual comparison, including text, fonts, colors, graphics, and element position. | Regression testing on a particular browser and operating system with mostly static content. | Dynamic data, localization, or cross-environment rendering can create noise. |
| Layout | Presence and relative position of elements while ignoring text, graphics, color, and other styling differences. | Dynamic content, localization, and a shared baseline across browsers, operating systems, devices, viewport sizes, or orientations. | It will not detect many typography, color, or styling defects. |
| Ignore Colors | Similar to Strict, but color differences are ignored. | Tests where geometry and typography matter more than theme or color variation. | Color regressions are intentionally hidden. |
Choose based on three questions: how variable is the content, which visual defects must fail review, and whether one baseline is shared across execution environments. Do not use Layout or Ignore Colors to make a noisy test green without understanding what coverage is being removed.
Build useful checkpoints
Capture states, not random pages
A checkpoint should represent a user-visible contract: an invoice with line items, an empty search result, an error message, a responsive navigation menu, or a dialog with validation errors. Give checkpoints stable names so reviewers can identify the route, state, viewport, and test purpose.
Control sources of visual noise
- Freeze or stub clocks, random identifiers, and rotating data.
- Disable animations and caret blinking when your test framework permits it.
- Use consistent fonts and wait for fonts and images to finish loading.
- Keep viewport, browser, operating system, device scale, and locale consistent when using Strict.
- Use Layout when the same structural test intentionally spans environments with different text or rendering.
Scope differences instead of hiding them
The dashboard supports targeted handling such as ignore, floating, strict, and dynamic regions. Apply these controls only to the known changing area. Ignoring a whole page can conceal a real regression and turns visual testing into an expensive screenshot archive.
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Storybook setup: the documented quick-start path
For a Storybook component library, the documented Eyes flow uses the Storybook SDK and dashboard review:
- Install the package:
@applitools/eyes-storybook. - Run
npx eyes-setupin the project. - Configure your Applitools API key in the environment or configuration expected by the generated setup.
- Run
npx eyes-storybook, or point the command at an existing Storybook instance. - Let the command discover stories and capture checkpoints.
- Review the first-run baselines and later diffs in the Applitools dashboard.
The first run establishes references. Subsequent runs should be reviewed after meaningful component changes, with accepted changes saved as new baselines and defects rejected. The Storybook Eyes Addon is another documented route if your team prefers a UI-first workflow.
Integrating Eyes with browser automation
Use the SDK that matches your test runner rather than taking screenshots manually and writing your own image-diff pipeline. The SDK identifies tests and checkpoints, uploads results, and connects them to the Eyes dashboard. The exact calls differ by framework, so follow the current package documentation for your language and runner.
A robust test normally opens or reuses an Eyes session, performs browser actions, calls one or more checkpoints, and closes the session so results are uploaded even when a test fails. Keep checkpoint names stable; renaming them can create new baseline identities instead of updating the intended reference.
Reviewing and resolving differences
Side-by-side and toggle inspection
Use side-by-side view to compare the baseline and current render simultaneously. Toggle view helps you spot small shifts, missing elements, and text wrapping changes. Inspect the difference in context rather than judging only a highlighted pixel region.
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Accept or reject deliberately
- Accept: The change is intentional, reviewed, and should become the reference for future runs.
- Reject: The change is unexpected or harmful; keep the previous baseline and fix the application.
- Target the region: If only a known dynamic area varies, configure a narrowly scoped dynamic or ignore region and preserve checks elsewhere.
Record why an accepted baseline changed. That history makes later reviews faster and discourages approving differences simply to clear a build.
Applitools MCP and AI-assisted workflows
Applitools documents an MCP server for setup, adding checkpoints, configuring Ultrafast Grid, inspecting visual results, and resolving differences. The documented requirements include Node.js 18 or newer and a compatible MCP client.
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CI, reliability, and cost-control practices
Make runs reproducible
- Pin browser and dependency versions where practical.
- Run against a controlled viewport and stable test data.
- Wait for the application’s ready condition, not an arbitrary short delay.
- Separate environment-specific baselines when rendering legitimately differs, or choose Layout when a shared structural baseline is the goal.
- Retry infrastructure failures only after distinguishing them from a real visual difference.
Keep review actionable
Start with a small set of high-value checkpoints. Group related pages or components, use descriptive names, and require a reviewer for baseline updates. A large, noisy suite consumes review time and encourages blanket approvals.
Plan for first-run behavior
A new branch, viewport, browser, or checkpoint may have no baseline. Treat that state as setup work, not as proof that the UI is correct. Review the image before accepting it, and ensure the baseline belongs to the intended commit and environment.
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Common problems and fixes
Every run reports large differences
Likely causes: changed viewport, missing fonts, animations, dynamic data, or a different browser/operating system. Fix: stabilize those inputs, wait for fonts and images, then choose Strict only for a matching environment or Layout for an intentionally shared structural baseline.
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Text changes are not detected
You may be using Layout, which ignores actual text and styling. Use Strict when text, font, or color regressions are part of the requirement.
Color regressions are missing
Ignore Colors deliberately suppresses color differences. Switch to Strict for tests where themes, contrast, or brand colors must be protected.
A legitimate update keeps failing
Inspect the diff, confirm the design change in code review, and accept the intended image as the new baseline. Do not widen ignore regions merely to avoid a review.
The MCP setup cannot add checkpoints
Confirm that the documented tool version supports Playwright TypeScript/JavaScript Fixtures for setup and checkpoint operations, that Node.js is 18 or newer, and that the client has the correct API-key permissions. Result inspection may still work for runs created by another SDK, while baseline writes require the separate write key and explicit approval.
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When Eyes is the right tool
Use Eyes when you need a managed visual-regression workflow tied to automated tests, named checkpoints, baseline review, match-level choices, and team approval. Use functional assertions alongside it for behavior and data correctness. Use a screenshot API such as ScreenshotNeo when the requirement is URL-to-image or URL-to-PDF capture rather than maintaining application test checkpoints and baselines.
Frequently Asked Questions
Does visual regression testing replace functional tests?
No. It detects rendered appearance changes; functional assertions still verify behavior, navigation, data, accessibility conditions, and other nonvisual requirements.
Should every page use the Strict match level?
No. Strict suits stable content and a consistent environment. Layout is intended for structural checks across dynamic or cross-environment content, while Ignore Colors omits color changes.
Who should approve an Applitools baseline?
A reviewer who understands the intended product or design change should inspect the diff and decide whether to accept the new image or retain the previous baseline.
Can Applitools MCP change baselines automatically?
The documented MCP workflow treats saving or resetting baselines as a separate operation requiring explicit approval; setup and checkpoint support is documented for Playwright TypeScript/JavaScript Fixtures.
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