How to Test Carousels With AI-Powered Automation

Carousels (also referred to as slideshows or sliders) are a popular and effective way to display dynamic content, from featured products on an eCommerce site to trending media on streaming services like Netflix. While they enhance user engagement, their constantly changing nature makes them notoriously difficult to test. Traditional automation struggles with shifting elements, leading to brittle scripts and high maintenance.

Perfecto AI provides a powerful solution to this challenge. By using agentic AI, teams can test carousels and other dynamic elements with plain-language commands, eliminating the need for complex scripts and constant upkeep. This approach allows for robust, reliable testing that validates both the function and visual accuracy of carousels across any platform.

Let's explore the common challenges of testing carousels and see how Perfecto AI delivers a stable, efficient, and scalable solution.

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What is the Challenge to Testing Dynamic Carousels?

Testing carousels with traditional automation is challenging because the elements within a carousel are not static; they scroll, update, and reorder, making them a moving target for test scripts that rely on fixed locators.

Dynamic carousels create several constraints with script-based test automation: 

• Element Visibility: Elements are often off-screen until a user scrolls, making them inaccessible to standard automation tools.
• Dynamic Content: The items within a carousel can change based on user preferences, time of day, or other variables, making static assertions unreliable.
• Complex Interactions: Testing requires simulating user actions like scrolling to a specific item, swiping left or right, and validating that the correct content is displayed.
• Visual Integrity: Ensuring that images, text, and layout appear correctly after an interaction is crucial for the user experience but difficult to verify with code-based tests.

These issues often lead to flaky tests, high maintenance costs, and a reliance on time-consuming manual checks, which slows down release cycles and increases the risk of production defects.

How to Simplify Carousel Testing With Perfecto AI

Perfecto AI overcomes these challenges by interpreting natural language commands to interact with and validate complex UI components. Instead of writing brittle code, you can simply describe the desired actions and outcomes.

Let’s walk through how to test a carousel using Perfecto AI, from scrolling to a specific section to validating its content.

Or if you prefer to watch how it’s done, the following video offers a quick demonstration of how to use Perfecto AI to automate carousel testing:

1. Locating and Scrolling to the Carousel

The first step in testing a carousel is often navigating to it, which might require scrolling through a page. With traditional tools, this involves calculating coordinates or finding anchor elements, which can easily break.

With Perfecto AI, you can use a simple command:
"Scroll down until 'popular audio books' is visible."

The AI engine intelligently scans the screen, identifies the target text, and scrolls the page until the specified section is in view. This intent-based approach is resilient to changes in layout or the presence of other dynamic content on the page.

2. Interacting With Carousel Items

Once the carousel is visible, the next step is to interact with its contents. A common test case is to ensure that a user can scroll horizontally to find a specific item.

For example, you might want to bring the fourth item in a row into view. A natural language command handles this complex interaction effortlessly:
"Move the audiobook so the 4th item is moved to the left."

Perfecto AI understands the context and performs the necessary scroll or swipe actions until your condition is met. It continuously analyzes the screen, ensuring it stops precisely when the target element is in the correct position. This eliminates the need to script individual swipe gestures or worry about the number of swipes required.

3. Validating Content and Visuals

After performing an action, it is essential to validate the result. Perfecto AI combines functional and visual validation to ensure the application behaves as expected and looks correct.

You can use commands to verify both the presence of text and the accuracy of images:

• Text Validation: To confirm a heading is still on the screen, you can assert: "The screen must show 'popular audio books'." Perfecto will scan the UI and confirm the presence of this text, highlighting its location.
• Visual Validation: To ensure the correct images are associated with their titles, you can use a more advanced validation: "The book covers are correct for the title." The AI cross-references the image with its corresponding text, confirming that the visual data is accurate.

This ability to validate complex visual relationships goes beyond what traditional object locators can achieve. It ensures that the user experience is not only functional but also visually correct, preventing errors like mismatched product images or incorrect data displays.

Experience all the ways Perfecto AI tests the untestable. Watch now >> 

Why Perfecto AI Excels at Testing Dynamic UIs

Perfecto’s agentic AI moves beyond the limitations of code-based automation and simple AI copilots. It doesn't just generate scripts for you to maintain; it executes tests based on your intent, delivering a more resilient and efficient solution.

By focusing on user intent rather than technical implementation, Perfecto allows teams to build robust automation for even the most complex, untestable scenarios.

Bottom Line

Testing dynamic UI elements like carousels no longer needs to be a bottleneck. With Perfecto AI, you can create stable, low-maintenance automated tests that ensure your application delivers a flawless user experience on any device or platform. By automating these complex scenarios, your team can expand test coverage, reduce manual effort, and release with greater confidence and speed.

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See how Perfecto can transform your approach to testing dynamic content. Schedule a custom demo of our platform today. 

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