Introducing the AI-infused visual testing capabilities on the Katalon Platform.

0:00 Introduction

2:04 Add visual keywords to existing Katalon tests

3:52 Choosing a visual comparison method

4:33 AI layout comparison

5:28 AI text content comparison

6:39 Selecting ignore zones for dynamic content

8:21 Saving images to a Visual Baseline Collection

More about Katalon AI-Infused Visual Testing:

Save your quality engineers from the mind-numbing game of spotting subtle differences and hours of reviewing false positives. Using AI, users can select different levels of strictness and testing scope to avoid flagging every difference as a failed test. The layout-based visual comparison focuses on the shifts in misplacements of a group of elements, whereas content-based visual comparisons look into flaws from typos or spelling mistakes.

The best part? If you’re already working with Katalon automated tests, it’s as simple as adding a few more test steps to capture screenshots to compare.

Try AI visual testing now: https://testops.katalon.io/
Technical docs: https://docs.katalon.com/docs/katalon-testops/visual-testing/visual-testing-overview#ariaid-title1