Publisher
SmartBear SoftwareSubcategories
Average rating
Deze score is berekend door AI op basis van publiek beschikbare informatie.
4.5 / 5
About this software
VisualTest is an AI-driven visual regression testing platform that captures full-page, viewport, and element screenshots and compares them to baselines to detect UI regressions. It integrates with TestComplete, BitBar, and popular frameworks like Cypress, Java, and Python, enabling CI/CD workflows. Plans include monthly screenshot quotas with enterprise options up to 50,000 screenshots and customizable review tools for ignoring regions and adjusting diff sensitivity.
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SmartBear VisualTest
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€1,723.20
Free and without obligation
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Benefits
- Detect visual regressions: Automates screenshot comparisons to find UI changes across releases
- Reduce false positives: AI filters out irrelevant pixel noise and expected changes
- Integrates into workflows: Works with CI/CD and popular test frameworks and SDKs
- Real device testing: Use BitBar integration to run tests on real devices
- Collaborative review tools: Customize diffs, add comments, and manage baselines together
Available languages
- English
Support information
- Documentation and guides: Online docs describe getting started, SDKs, methods, and integration steps
- API key access: Accounts use API keys for project authentication and BitBar integration
- Integration guides: TestComplete and BitBar integration articles detail setup and usage steps
- Onboarding wizard: The VisualTest app includes an onboarding wizard to guide initial setup
- Community and support: SmartBear community forums and support portal provide resources and case management
Frequently asked questions
What is SmartBear VisualTest used for?
A visual testing tool that automates inspection of user interfaces by capturing rendered output and comparing runs to detect layout or rendering regressions.
What types of interfaces can SmartBear VisualTest test?
Graphical user interfaces such as web pages and application windows; it compares rendered visuals across builds, devices, or configurations to identify unintended changes.
How does SmartBear VisualTest identify visual regressions?
By capturing baseline images and comparing them to new runs using pixel-level and tolerance-based comparisons, then reporting visual differences for review.
Can SmartBear VisualTest integrate with CI/CD and test automation workflows?
It can be integrated into automated build and test pipelines to run scheduled or triggered visual checks and produce reviewable comparison reports.
How can teams reduce false positives in visual comparisons?
Adjust comparison tolerances, apply masks to dynamic regions, organize clear baselines, and review differences before accepting baseline updates.