How to Add AI-Powered Visual Testing to Robot Framework (with Katalon)

Robot Automation Framework is a democratic open source test mechanization tool engage by software teams. Katalon ’ s Robot Framework Integration enables software teams using Robot Framework for test mechanisation to tap into Katalon ’ s powerful AI enabled Optical Testing capabilities to level up their software quality and release readiness protocols. & nbsp; & nbsp;

The Value of Visual Testing

Modern businesses bet on digital experience for both customers and job users. Modern exam mechanization helps to validate functionality within these digital experience, but validating the UI and UX preserve to be an intense summons of:

• Manually, or through automation, capturing images & nbsp;
• Manually, or through partial automation, comparing for differences & nbsp; & nbsp;

While long-winded and time-consuming, failure to include visual testing as part of your lineament processes could leave to:

• Bad first effect due to variations or broken UI layout, such as buttons and/or text that are accidentally displaced
• Loss of sale given bound or no operable UI Interactions due to non-visible factor on pages that functional automation tests can not verify
• Frustration or angriness trigger by improper use of language that somehow skid through various reappraisal rounds, etc.

All of these are real problems that get impact businesses in real life, result in thousands or millions of dollars in lose receipts, client dissatisfaction, and negative brand ikon.

Katalon Visual Testing

Katalon ’ s Visual Testing solution provides AI-Powered Visual Testing capabilities that allow user to validate software UI in a honest and machine-driven way with different comparison poser to fit the need.

Katalon Visual Testing can do three distinct type of equivalence to direct the specific needs of your UI validations:

• Pixel Comparison to validate precise lucifer of UI.
• Content Comparison that focuses on the accuracy of textbook content when its accuracy is most crucial.
• Layout Comparison for validating that the relative view of images, objects, and former visual elements are not impacted so as to modify the overall appearance of the UI.

Visual Testing is easy to add to live Katalon Studio tests and we ’ re extending this relief of use to Robot Testing Framework users with this integration.

SUSA automates exploratory testing with persona-driven behavior, catching bugs that scripted automation misses.

You can hear more about Katalon ’ s AI-Powered Visual Testing solvent & nbsp;

Robot Framework and Katalon Visual Testing Integration

Katalon has published a python based integration package on Pypi (https: //pypi.org/project/testops-robot/). The TestOps-Robot package enables Robot Framework to leverage API ’ s for TestOps to allow uploads of baseline and checkpoint picture and return results of the optic comparisons. & nbsp; & nbsp;

The image below describes the event flowing between Robot Framework and TestOps during execution.

Using the integration, user can easy add steps to existing test automations to make calls to TestOps for induct visual comparison tests based on uploaded baseline and checkpoint image. Results are legislate rearwards to the Robot Framework mechanization using the integration.

Result in Robot Framework trial

And checkpoint images as well as comparison results can be viewed in TestOps.

Visual Test Result in TestOps:

Get started with Visual Testing and Robot Framework

Ocular Testing is a key factor of modern software quality processes. Making certain job exploiter and customer are seeing and interact with the UI as it is intended is not always guaranteed through machine-controlled testing.

For a complete and up-to-date guide on integrating Robot Framework with Katalon Visual Testing check our corroboration here: & nbsp;

And for a peek at how the integration looks in a project, you can check out our public example project on GitHub here: & nbsp;