Playwright provides automated browser testing. It offers a built-in feature to perform visual regression testing for your website.
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Codeless Visual UI Testing
Start identifying UI defects on your website in minutes. Just enter your URL, select the browsers you want to test on, and set the testing frequency. Customize alerts to get notified instantly when issues are detected.
When a visual change occurs, you'll receive an instant alert with a screenshot and a diff image highlighting the differences. Keep your UI and UX flawless by catching unexpected changes early.
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Simplify UI testing and increase UI coverage
Replace multiple test assertions with a single visual snapshot, ensuring broader test coverage and higher QA confidence.
Automatically capture and compare screenshots against baseline images to detect even the smallest visual changes. With enhanced visual testing, teams can deploy with confidence, catching UI regressions before they reach production.
Review and Approve Changes
You and your team can review visual test results, approving or rejecting specific UI changes. Use a slider to compare the baseline and new screenshots or analyze a diff image highlighting the differences.
Adjust the pixel sensitivity threshold and test across multiple screen resolutions. Detect visual bugs in both landscape and portrait modes on real Android and iOS devices.
Test Frameworks
Integrate TestingBot's Visual UI testing into your existing test scripts effortlessly. Start testing on real browsers and physical mobile devices with just a few lines of code. Automate visual testing and eliminate the need for manual UI checks. View documentation
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Frequently Asked Questions
TestingBot performs automated pixel-by-pixel comparisons between an image that you marked as correct and a new screenshot that was just taken. If the amount of different pixels exceeds the threshold, the test is considered as failed.
This can happen when you deploy a new version of your website that has an incorrect CSS styling, positioning or is missing from the page. Catch visual bugs before these cause harm to the UX of your webpages.
You can test for dimensions, positioning and styling with regular functional tests. The disadvantage is that it will soon become a huge burden of checkpoints in your code.
Instead of doing the visual checks in your code, it is much more efficient to take snapshots and compare these. The visual results are also much more easily interpreted by developers and QA.
Ideally you would run visual checks as part of your CI/CD pipeline. It could be run after each check-in of front-end code, making sure new code does not negatively impact your product.
Machine learning algorithms can be trained to discover visual differences. AI depends on trained data, so it may report false positives/negatives. It is not a Not a One-Size-Fits-All solution and often fails in comparison with exact pixel matching.
Snapshot Testing in the context of visual testing for UI on webpages, captures screenshots of the initial state of a webpage. It then compares them against subsequent renders. Tests are considered failed when one or more changes in visual appearance occur. This helps to ensure that UI elements remain consistent.
