Placeholder Images for Visual Regression Testing

Visual regression tests break when images change between runs. This preset generates deterministic PNG placeholders — committed to the repository and color-coded by test state — that produce identical baselines in every CI run.

Size reference

NameDimensionsDescription
dashboard1440x900Dashboard — 1440×900px, full-page dashboard screenshot baseline
state_pass1280x720Pass state — 1280×720px, green-coded fixture for passing test states
state_pending1280x720Pending state — 1280×720px, amber-coded fixture for in-progress states
state_alert1280x720Alert state — 1280×720px, red-coded fixture for failing or alert states
widget640x480 @2xWidget — 640×480px @2x, high-DPI widget component fixture

Why these sizes matter

Percy, Playwright, and Cypress all compare screenshots pixel-by-pixel. A single changed image fails a visual test and wastes engineering time on false positives. The moment you replace dynamic image sources with committed fixture images, your visual test suite becomes genuinely reliable — only real UI changes produce diffs.

Use cases

Playwright screenshot testing

Route image requests in Playwright tests to committed fixture files. The page renders identically on every run, making toHaveScreenshot() assertions reliable.

Percy snapshot stability

Replace dynamic image URLs with committed fixture references before Percy snapshots. Your baselines will never change unless you deliberately update the fixtures.

CI/CD visual test pipeline

Commit this fixture set to your repository and reference it in your test setup. Every CI runner gets the same images without making network requests.

FAQ — Frequently asked questions

How do I replace dynamic images with fixtures in Playwright?
Use page.route() to intercept image requests and respond with the fixture file using route.fulfill(). This works for any image source — CDN URLs, API responses, or CMS assets.
What image format should I use for visual regression fixtures?
PNG is recommended. It's lossless, so pixel comparisons are exact. JPEG compression introduces subtle variation that can cause false positives in strict comparison modes.
Should fixtures be committed to git or generated on demand?
Commit them. On-demand generation reintroduces network dependencies. Committed fixtures are guaranteed identical across all environments and branches.

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