Best AI Testing Tools for Test Automation

AI testing tools

In today’s digital age, Artificial Intelligence (AI) is reshaping industries, transforming our daily lives, and challenging the boundaries of what machines can do. According to research, artificial intelligence (AI) is anticipated to experience a yearly growth rate of 37.3% between 2023 and 2030. With advancements in technology, AI has become a powerful tool in various industries, particularly in software development and testing. AI Test Automation Tools are not only optimizing the development process but also transforming the testing landscape. They offer a promising solution for complex challenges such as mobile app testing, cross-browser testing, codeless automation, mobile app development, and more.

In this post, we explore some of the top Automated AI testing tools currently on the market. Whether you’re a QA Professional, a developer looking to integrate testing into your workflow, or a Startup Stakeholder seeking to understand the value of AI in software testing, this article will provide valuable insights to help you decide the tool, as per your requirements.

Here are some factors to consider when choosing an AI testing tool:

  • Ease of use: How easy is the tool to set up and use?
  • Scalability: Can the tool scale to meet your testing needs as your application grows?
  • Integration: Does the tool integrate with your existing testing tools and workflows?
  • Support: Does the vendor offer good support for the tool?

AI Testing Tools for Mobile App Testing Automation

Mobile App Testing is the process of validating a mobile application for usability, functionality, and performance. Businesses can ensure that their mobile app is bug-free before releasing it to the market by utilizing mobile app automation testing.

These are some AI-based mobile app testing tools that can help organizations ensure that their mobile apps are functioning correctly and meeting user needs.

TestGrid

TestGrid AI- based End-to-End Testing tool

TestGrid is an AI Test Automation platform that offers a variety of features to help you test your apps on real devices, including automated testing, performance testing, API testing, and security testing. Testgrid provides on-demand access to hundreds of real Android and iOS devices, giving you the flexibility to test your app on a wide range of devices.

Here are some of the benefits of using TestGrid for mobile app testing:

  • TestGrid AI will generate test cases for you, all you need to provide is your test scenario in plain English.
  • Access to a wide range of real Android and iOS devices.
  • TestGrid’s Record & Playback Testing feature allows users to record their actions, generate test scripts, and automate tests in minutes, providing a streamlined approach to testing.
  • Test your app’s performance on devices with different battery life, network strengths, responsiveness, and swipe gestures.
  • Users can perform codeless automation & save their time on testing complex use cases.
  • Seamlessly integrate TestGrid with Appium to automate the testing of your app within TestGrid’s testing environment.
  • TestGrid’s newly launched CoTester™ is the world’s first AI designed specifically for software testing. It is pre-trained on advanced software testing fundamentals, architecture, and tools to streamline the testing process.

Perform mobile app testing on real devices with TestGrid.

Pricing: 

  • Freemium: Free forever (200 minutes/2 minute sessions)
  • Manual/Scriptless Automation: $25/mo (5 users, 1 parallel test)
  • End-to-End Automation: $99/mo (5 users, 1 parallel test)
  • Private Dedicated: $30/mo (5 users, 1 dedicated device)
  • Enterprise: Contact sales

Functionize

Functionize is another well-known name among the best AI Testing Tools equipped with ML capabilities designed for mobile app testing. It has a unique feature called Adaptive Event Analysis, which predicts user interactions to ensure your app can handle real-world user scenarios.

Functionize - Gen AI Testing Platform



Functionize’s self-healing tests reduce test maintenance time by 85%. As your website or application changes, Functionize automatically identifies and updates your tests, eliminating the need for manual updates.

  • Free Trial – Available
  • Pricing – Pricing varies based on user requirements, contact Functionize for a custom quote.

Appvance IQ

Appvance: AI-Driven Autonomous Software Testing Tools

Appvance IQ is one of the top AI-powered test automation tools that provides testing for native mobile, mobile web, and hybrid apps on iOS and Android. It caters to all the testing requirements, including functional, API, performance, and load tests, ensuring an optimal experience.

To further streamline test creation, Appvance IQ uses AI Blueprinting for mobile. This feature automatically identifies locators that can be used in Mobile Designer scripts, making the test creation process even more easier and efficient.

AI Testing Tools for Cross Browser Testing

Cross-browser testing is the process of verifying that a website or web application works correctly and consistently across different web browsers, devices, and operating systems. By conducting cross-browser testing, developers can identify and resolve compatibility issues, providing a seamless user experience across multiple browsers.

Here are some AI testing tools cross-browser testing to ensure smooth website performance across different web browsers.

TestGrid

Apart from App Testing, you can also leverage TestGrid for cross browser testing. The cloud-based cross browser testing platform utilizes AI to enhance its testing capabilities. It allows developers to test their websites and applications on various browsers, devices, and operating systems. TestGrid offers a library of over 1,000 browsers and devices, including the latest versions of Chrome, Firefox, Edge, Safari, and Opera. 

Testgrid dashboard

It integrates with a variety of other tools, such as Jira, Slack, and GitHub, so you can easily track your cross-browser testing results and share them with your team.

Get started with TestGrid today. Sign up for free.

Copado

Copado - AI-based DevOps platform

Copado is an AI-powered DevOps platform that offers cross-browser testing as part of its comprehensive suite of AI testing tools. It enables developers to automate the testing process across different browsers and devices, ensuring that applications work seamlessly everywhere.

  • Free Trial – Not Available
  • Pricing –  They offer a custom plan based on the customer’s request.

Katalon

Katalon Studio is a Comprehensive Automated software testing tools that provides solutions for mobile, web, API, and Desktop application Testing. It has AI based self-healing features, which fixes broken test scripts automatically when changes are discovered, making cross-browser testing more efficient.

Additionally, it provides seamless Integration with well-known technologies like Jenkins, Git, and JIRA, facilitating collaboration and allowing for easy incorporation into current workflows.

  • Free Trial – Available
  • Pricing – Katalon has three pricing plans: Free, Premium, and Ultimate. These plans include a combination of their products (Studio Enterprise, TestCloud, Runtime Engine). Costs vary based on how many users you need for each product.

AI-based functional testing tools

  1. TestGrid.io 

TestGrid is an AI-powered testing platform that streamlines functional testing by automating tasks and leveraging intelligent features. It can automatically generate test cases based on user flows, heal broken tests when the application UI changes, and efficiently execute tests with different data sets.

What’s even more intriguing is the use of 1,000+ real devices to test web applications for different browsers, operating systems, and mobile devices. This combination of automation and intelligence allows testers to focus on more strategic tasks while ensuring thorough functional coverage

Key features:

  • Test cases can be written in various formats, such as English, BDD, and CSV to generate test cases. 
  • It offers integration with CI/CD pipeline tools like JIRA and Slack.
  • Larger organizations can even set up a TestGrid device lab for on-premise testing. 
  • Allows you to create custom dashboards to visualize your test results and get insights into the performance of your apps.
  • Reserve a device for a period of time for exclusive access. This feature comes in handy when you need to run tests on a particular app or function without any external interference.

2. Tricentis Tosca

Tricentis Tosca is a AI test automation tool that performs functional testing for various use cases, including web, APIs, mobile applications, and desktop software. The platform uses sophisticated machine learning algorithms to test for the web app UI or Application Program interfaces that imitate real-world processes. 

What’s special about Tosca is that its tests can be recorded and edited in the visual editor so that you can organize the test cases. 

Key features:

  • It creates intelligent test design features to optimize functional testing efforts based on risk assessment. 
  • It provides support for the API technologies that allow users to scan and test APIs. 
  • Tricentis Tosca supports parallel testing and offers cross-browser compatibility for more robust tests. 
  • Service virtualization helps test web apps and similar interfaces even when they are under development. 
  1. Testim

Testim is an automated and AI-powered tool for performing functional tests that require regular maintenance. Like Tosca, Testim can record the tests and edit them in the visual editor for better test case organization. 

The platform uses low-code test authoring to execute the test cases for iOS and Android devices in real time. During the course of the test, you can also detect the broken tests using machine learning technology. 

Key features:

  • It comes with an AI-powered locator that locks in the screen and finds each web element, detecting anomalies in real-time during the changes.  
  • The platform identifies the duplicate tests and replaces them with the shared objects to keep the testing clean. 
  • Coding assistant automation uses the AI prompt to extend Javascript steps to execute the test cases effortlessly. 
  • It integrates seamlessly with a vast collection of CI/CD pipeline tools and third-party tools, including Slack, GitHub, Outlook, and more. 
  1. Leapwork 

Leapwork is a no-code test automation platform for performing functional tests across various environments. This cloud-based platform works best for individuals with no coding experience. Though the platform tests web apps for desktops, it does not offer functional testing for mobile apps. 

The platform comes with an array of features such as debugging, parallelization, compliance management, approval process control and recurring tests. 

Key features:

  • The tool offers the record and playback feature to record the entire process and validate the steps. 
  • Integrates with platforms such as Microsoft Azure DevOps, Jenkins and TeamCity. 
  • The processes can be represented in a graphical flow chart so that team members can easily review them. 
  • The cloud-based functionality lets you perform tests on any browser or any device without the need for physical devices. 

AI Test Automation Tools for Codeless Automation

In simple terms, Codeless Automation Testing or Codeless Automation means creating automated tests without the need to write code or test scripts. That means users can use the simple user interface to define or modify the testing steps and execute them.

These are some AI testing tools for codeless automation that use pre-defined logic and AI algorithms.

TestGrid

TestGrid is a comprehensive platform designed that helps users to perform end-to-end automation testing in a codeless manner.

The platform is designed to run tests on real devices and browsers, providing a centralized platform for test planning, authoring, and execution. TestGrid is an AI-powered scriptless testing solution that allows users to build logical workflows and leave the test creation to the platform. The self-healing feature eliminates the need for manual test maintenance by allowing executed tests to automatically fix themselves.

Key features:

  • Allow you to create test cases without writing scripts, making the process easier and more accessible.
  • Integration with Popular Tools like Travis CT, Jenkins, CircleCI, JIRA and Slack.
  • Provide detailed reporting for test execution, performance, and defects.
  •  Provides detailed performance metrics for APIs and web applications.
  • It auto-heals your codeless tests and prevents tests from failing by automatically relocating valid locators of broken objects.
  • offers parallel testing features to allow testers to test in bulk.

You can book a demo with TestGrid to gauge how it can help you speed things up with the power of AI-generated codeless automation.

Katalon Studio

Katalon Studio is a Comprehensive AI Testing tool that provides solutions for mobile, web, API, and Desktop application Testing. It provides a user-friendly experience with its codeless test creation features. It has AI based self-healing features, which fix broken test scripts automatically when changes are discovered, guaranteeing a high success rate.

Additionally, it provides seamless Integration with well-known technologies like Jenkins, Git, and JIRA, facilitating collaboration and allowing for easy incorporation into current workflows.

  • Free Trial – Available
  • Pricing – Katalon has three pricing plans: Free, Premium, and Ultimate. These plans include a combination of their products (Studio Enterprise, TestCloud, Runtime Engine). Costs vary based on how many users you need for each product.

Mabl

Mabl is a test automation solution that enables software teams to achieve fast and reliable end-to-end test coverage with 90% less effort. Mabl’s AI enables you to reuse existing functional tests to continuously monitor your application’s performance, conduct performance testing earlier in the process, and reduce infrastructure costs.

  • Free Trial – Available
  • Pricing – Pricing varies based on user requirements, contact Mabl for a custom quote.

ACCELQ

ACCELQ is a codeless Automated testing platform that helps businesses automate their testing processes. It has codeless functionality, allowing even non-technical users to create test scripts using a visual editor. With ACCELQ, businesses can achieve continuous testing through automated test execution, reporting, and analysis.

  • Free Trial – Available
  • Pricing – Pricing varies based on user requirements, contact ACCELQ for a custom quote.

AI Powered Regression Testing Tools

  1. TestGrid 

TestGrid is an end-to-end, AI-powered automated testing platform that generates scriptless test cases for executing regression tests. This versatile platform automates testing across various environments, including web, mobile, API, and desktop applications. The platform offers a record and playback feature that enables testers to edit the test cases in a visual editor. 

Key features: 

  • It uses 1,000+ real devices and browsers to test the app for various browsers and devices. 
  • Testers can write test cases in various formats, such as English, BDD, CSV and paste them into the TestGrid portal to generate the best use case. 
  • It integrates seamlessly into the current workflow using the CI/CD pipeline tools. 
  • Testgrid offers detailed regression test reports, which includes information on passed, failed, and skipped tests, along with screenshots, logs, and other details to aid in debugging
  1. IBM RFT

IBM Rational Functional tester is ideally the testing tool designed for performing the functional, regression and GUI tests. This testing tool is most suitable for running the tests on Windows and Linux systems. 

This automation testing framework supports various application testing including web-based, .Net, Java, Siebel, SAP, terminal emulator-based applications, and PowerBuilder.

Key features:

  • Works with DevOps Test Hub to help team members work together better and share test results.
  • Testers can write test cases by mixing recorded actions with smart script updates and customizations.
  • Uses different types of data to test the same user actions and see how easy it is to use.
  • Automated testing uses script assurance technology, making testing much faster and keeping scripts easy to manage.
  1. testRigor
testRigor - generative-AI powered automation platform

testRigor is a generative-AI powered automation platform that writes test cases in plain English so that the tool converts it into more sophisticated steps of instructions for the testers. testRigor uses the no-code approach to perform tests such as web apps, mobile apps, desktop apps, email tests, and 2FA tests. 

Key features: 

  • The Chrome extension captures the action performed on the web app and converts it into the test cases. 
  • It offers parallelization that enables testers to execute tests simultaneously on various devices. 
  • testRigor integrates with various CI/CD pipeline tools including JIRA, Gitlab, Jenkins and more. 
  • It provides testing on a combination of 3000+ browsers and devices.

AI-Driven Performance Testing Tools

Applitools

Applitools is a testing platform that uses AI to automate performance testing and load testing. It uses AI to identify visual differences and performance issues, helping developers ensure that the app provides a smooth user experience and reduces the overall testing time.

  • Free Trial – Available
  • Pricing – customized pricing is available on request.

Functionize

Functionize uses AI and machine learning to enable users to automate functional testing. Its self-learning algorithms can generate robust tests that can adapt to changes in the software, decreasing the time needed for test maintenance.

  • Free Trial – Available
  • Pricing – customized pricing available on request.

LoadNinja

LoadNinja is a powerful cloud-based load testing platform that leverages cutting-edge AI to revolutionize the way you assess the performance of your web applications and APIs.

Designed for ease of use, LoadNinja allows you to create and execute realistic load tests in minutes—no coding required. LoadNinja uses AI algorithms to analyze application behavior and generate realistic user load patterns. It can automatically identify performance bottlenecks and provide actionable insights for optimization.

Key features of LoadNinja include:

  • Intelligent load generation with AI-driven user behavior simulation
  • Automatic test script generation and maintenance
  • Real-time performance monitoring and analytics
  • Integration with popular CI/CD tools and cloud platforms
  • Free Trial – Not available
  • Pricing –
    • LoadNinja offers two main pricing structures: On-Demand and Subscription (billed annually).
    • Subscription has lower monthly costs, ranging from $111 to $723 depending on the tier, with varying limits on virtual users.
    • On-Demand is more flexible but has a higher monthly cost, ranging from $301 to $1133, with varying virtual user limits.
    • Enterprise plans require contacting LoadNinja for a custom quote. These plans are likely geared towards high virtual user capacity and potentially additional features for large organizations.

AI-Powered Visual Testing Tools 

Visual testing refers to evaluating an application’s or website’s visual elements, such as colors, images, fonts, layouts, etc. It verifies whether these visual elements are displayed correctly across various browsers, devices, and operating systems. Simply put, visual testing uncovers an application’s visual discrepancies across multiple combinations of browsers, devices, and OSes. 

Several AI-powered visual testing tools are available out there to facilitate the entire testing process. These tools automate the detection of visual discrepancies in an application’s user interface. 

Here are the most popular AI-powered visual testing tools QA professionals and software developers rely on. 

1. TestGrid 

TestGrid is an end-to-end AI-powered testing platform with a built-in visual testing feature. Visual testing leverages the potential of artificial intelligence and empowers you to detect even the slightest changes in the appearance of your applications or websites across devices and browsers; it guarantees pixel-perfect precision. 

Key Features: 

  • No need to add any external SDK to your projects to assess your app’s or website’s visual changes. 
  • Users can perform codeless automation & save their time on testing complex use cases.
  • Automatically compares the visual output of the current tests with baseline tests and subsequent tests. 
  • Validates every element of the UI, including text, videos, images, layouts, and much more. 
  • Eliminates the possibility of visual bugs slipping down into the production stage. 
  • Provides a combination of real browsers and devices to run visual tests. 

Sign up today and get a free testing trial

2. Applitools 

Applitools offers a cloud service called Applitools Eyes for automated visual AI testing of your mobile apps, desktop apps, and websites. It is designed using cognitive vision technology to be more accurate than other tools in the market. It is capable of testing web applications across multiple browsers and as many screen resolutions as you want. 

Moreover, Applitools Eyes supports testing mobile applications on iPhone, iPad, or iPad mini in both portrait and landscape orientation. 

  • Free Trial: Available 
  • Pricing: Customized pricing available on request.

3. Chromatic

This visual testing tool validates every component and page and pinpoints visual bugs down to the pixel. It automatically tests every commit for appearance changes in the cloud. 

The tool captures pixel-perfect snapshots of real code, styling, and assets and compares them with the visual output of current tests. It expands test coverage to Chrome, Safari, Edge, and Firefox in one click. It enables the tests to run on all browsers simultaneously, accelerating your test suite. 

  • Free Trial: Available 
  • Pricing: pricing starts at $149/ month

AI Powered Mobile App Development Tools

Tensorflow

Tensorflow is a software platform designed for machine learning tasks that utilizes neural networks. It incorporates a combination of deep learning and traditional machine learning algorithms, which are implemented through a shared symbol. It is built over Python and can execute mobile apps in C++. Tensorflow’s simplified design makes it easier for developers to build intelligent AI-based mobile apps.

Many popular brands such as Airbnb, Coca-Cola, and Intel use Tensorflow to implement AI technologies. Tensorflow is an open-source AI library that uses data flow graphs for model creation. It can be used for various tasks such as understanding, prediction, classification, discovery, creation, and perception.

OpenCV

OpenCV is an open-source computer vision library used to create real-time computer vision applications. It has C++, Python, and Java interfaces and supports Windows, Linux, Mac OS, iOS, and Android. Additionally, it supports the deep learning frameworks Poarch and TensorFlow. OpenCV’s primary goal is to create a uniform infrastructure for computer vision applications. 

ML Kit

ML Kit is a mobile machine learning framework developed by Google. It helps programmers to create intelligent iOS and Android applications. It also offers a wide range of machine learning models and APIs that can be used for tasks such as image recognition, text recognition, barcode scanning, face detection, and more.

AI-Powered Web Development Tools

ChatGPT

Developed by OpenAI, ChatGPT is a language model that can provide web developers with a wealth of perfectly structured and easily digestible information on a topic. It can also help in automating unit tests, generating code snippets based on a conversational prompt, and identifying areas where sensitive data is handled.

Copilot by GitHub


GitHub Copilot is an AI assistant that uses the OpenAI Codex to suggest code and entire functions in real-time. It is trained on all languages that appear in public repositories, so it can suggest code in a wide variety of languages and frameworks.

Sketch2Code

A unique AI tool offered by Microsoft that converts a simple hand-drawn sketch into a working HTML boilerplate, skipping a vast stage in website building. If you’re looking for a way to create working prototypes of your designs without writing any code, Sketch2Code is a great option.

Conclusion

AI and machine learning are becoming more important in the digital age, especially in software testing. When choosing an AI automation testing tool, companies should consider their specific needs and resources. These technologies can help improve efficiency, reduce errors, and speed up testing that traditional automation tools fail to offer. 

If you’re looking for a comprehensive testing platform that lets you make the most of AI for codeless automation, app testing, and cross browser testing then TestGrid is your best shot. Sign up for free and check TestGrid today or book a demo to get an in-depth walkthrough of  100+ features.

FAQ’s

What is the use of AI in test automation?

AI in test automation involves using Artificial Intelligence technologies (like machine learning) to enhance the efficiency, accuracy, and coverage of your testing processes. This can include tasks like intelligent test case generation, self-healing test scripts, visual testing, and predictive analytics.

Can AI write test cases?

Yes, AI can analyze application artifacts like requirements and code to generate test cases with test data and expected results automatically. These AI tools can identify different test scenarios, create test data, and suggest appropriate test steps, greatly reducing manual effort.

How do AI testing tools work?

AI testing tools use machine learning to automate tasks, analyze test data, and even create new test cases. This intelligent automation helps find bugs, predict issues, and streamline the testing process.

What are the benefits of AI testing tools?

Some noteworthy benefits of AI testing tools include: 
Improved accuracy 
Enhanced test coverage 
Early detection of issues 
Increased efficiency
Scalability 
Cost-effectiveness