Top 19 AI Testing Tools for 2024

The software development industry has been changing significantly, most importantly, the way artificial intelligence is increasingly being used in testing processes. AI in software testing can improve efficiency, accuracy, and speed, ensuring high-quality software.

Several interesting AI testing tools provide automation for complex procedures, mechanisms of self-healing, and ease of use for non-technical users. These tools are likely to set new norms for quality engineering and become indispensable for software development teams seeking to remain competitive in the market.

This blog discusses some of the most popular AI testing tools for 2024.

What Are AI Testing Tools?

AI testing tools are software applications that use artificial intelligence to improve the testing process. They help automate various testing tasks, making it easier and faster to ensure that software applications are working as expected.

These tools can do things like automatically generate test cases based on changes in the code, detect issues or anomalies in real-time, and adapt to new features without needing constant manual updates. AI testing tools also leverage machine learning to analyze past test data to predict potential risks and suggest improvements.

Why Need AI Testing Tools?

AI automation uses artificial intelligence to evaluate the functionality, performance, and reliability of software applications. Unlike traditional software testing, AI testing uses advanced AI algorithms to improve the testing process. This includes creating test cases, running tests, and assessing the results, which significantly improves test coverage and accuracy.

Because of the several challenges in current software development, the demand for AI in testing has grown. The complexity of software applications, rapid release cycles, and rising reliance on third-party APIs necessitate more effective and scalable testing methods. In such cases, AI testing tools can help fulfill these needs by automating tedious and time-consuming tasks, allowing for shorter testing cycles, and increasing test coverage.

Additionally, AI testing tools complement human testers with the automation of routine activities and enable them to focus on areas that require critical thinking. These AI testing tools also help in risk management—detection of future challenges, enabling real-time monitoring to ensure software quality and reduce time-to-market.

Best AI Testing Tools

While performing software testing, you can consider some of the best AI testing tools for 2024 to ensure your software meets the highest quality standards.

KaneAI

KaneAI by LambdaTest is one of the best AI testing tools available in the market. It is an AI-powered smart test assistant for high-speed quality engineering teams that automates various aspects of the testing process, including test case authoring, management, and debugging.

With KaneAI, teams can create and evolve complex test cases using natural language, making test automation faster and more intuitive. Additionally, it integrates AI to optimize test execution and enhance test data management, ultimately improving the efficiency, precision, and reliability of software delivery.

Features:

• Test Creation: Creates and evolves tests using natural language instructions, making test automation accessible to all skill levels.
• Intelligent Test Planner: Generates and automates test steps automatically based on high-level objectives, simplifying the test creation process.
• Multi-Language Code Export: Converts your tests into all major programming languages and frameworks for flexible automation.
• 2-Way Test Editing: Syncs between natural language edits and code, allowing easy modifications from both ends.
• Integrated Collaboration: Lets you tag KaneAI in Slack, Jira, or GitHub to initiate automation from these platforms, boosting team collaboration.
• Smart Versioning Support: Tracks changes with version control, ensuring organized test management.
• Auto Bug Detection and Healing: Detects bugs during test execution and applies self-healing techniques for continuous improvement.
• Effortless Bug Reproduction: Lets you fix issues by interacting, editing, or deleting the problematic step within the test.
• Smart Show-Me Mode: Converts your action into natural language instructions, creating reliable, robust tests.

While KaneAI by LambdaTest can help enhance your end-to-end software testing, you can also leverage LambdaTest, an AI-driven test orchestration and execution platform that lets developers and testers perform manual and automated testing at scale.

One of its most prominent AI-powered capabilities is HyperExecute, an end-to-end test orchestration cloud that is up to 70% faster than traditional cloud-based grids. Moreover, LambdaTest also offers AI-augmented features like visual testing, test manager, and more.

ACCELQ

ACCELQ is a cloud-based platform for automating and managing tests powered by artificial intelligence. It is the platform that provides a codeless automation solution for a variety of enterprise applications. The platform automates the enterprise stack via web, mobile, API, and desktop. ACCELQ uses AI to provide long-term automation that ensures test execution is reliable.

Features:

• Adaptive Relevance Engine: Speeds up the process of creating test scenarios using the adaptive relevance engine by automatically offering suggestions for the next steps in the flow.
• AI-Powered Root Cause Analysis: Improves issue resolution by classifying errors and making immediate recommendations for fixes.
• Smart Locators: Uses AI and machine learning to develop smart locators that self-heal as applications evolve. These locators detect and adapt to changes in the application’s UI elements.

TestCraft

TestCraft is a robust AI-driven test automation solution that works with Selenium and supports both manual and automated testing. Given its ability to scale, TestCraft has gained recognition and is, therefore, a popular tool in organizations focused on efficient and reliable testing operations.

Features:

• AI-Powered Test Generation: Uses artificial intelligence to automatically develop test cases based on the application’s UI elements and interactions, helping to generate comprehensive test scenarios.
• AI-Driven Test Optimization: Improves test execution by detecting and prioritizing the most critical tests.
• Adaptive Test Maintenance: Identifies changes in the application being tested and updates the test cases accordingly.
• Accessibility Testing: Identifies potential accessibility issues and recommends effective testing strategies so that programs can be used by all users.

Testim.io

Testim.io is a powerful AI testing tool for test automation designed to simplify and improve the software testing process. It focuses on simplifying test creation, allowing testers to create automated tests with minimal coding. The platform uses machine learning to adapt and stabilize testing automatically, reducing the maintenance burden that comes with frequent application updates.

Features:

• Test Creation: It offers a code-free, visual method for creating tests. Drag-and-drop functionality allows testers to develop automated tests, making them helpful to non-technical individuals and speeding up the testing process.
• AI-Powered Test Authoring: Speeds up test creation by using AI to build custom test steps. This feature enables testers to write and customize tests more quickly, minimizing the effort necessary and allowing non-technical testers to verify the quality of complex software applications.
• Smart Locators: Uses AI and machine learning to develop smart locators that self-heal as applications evolve. These locators detect and adapt to changes in the application’s UI elements, keeping testing stable and lowering maintenance efforts.
• AI-Driven Test Optimization: Improves test execution by finding and testing the most important tests first.

Functionize

Functionize is yet another one of the best AI testing tools that leverage AI to simplify the testing of modern, complex applications. The platform uses deep learning AI to automatically create and execute tests, making it easier to ensure functional and end-to-end test coverage within CI/CD pipelines.

Features:

• Scalable Test Cloud: Provides a scalable test cloud that uses AI to improve resource allocation. This guarantees that tests run efficiently, shorter test execution time, and increases total test coverage.
• AI-Powered Test Maintenance: Detects changes in the application and immediately updates the test script.
• Smart Data Generation: Uses artificial intelligence to generate realistic test data based on the application’s requirements. This contributes to the creation of more extensive and accurate test scenarios, hence boosting test reliability.
• AI Visual Testing: Uses computer vision to compare full-page screenshots or specific elements.

TestComplete

TestComplete is a test automation tool with dynamic AI-driven testing features. It also includes a feature called checkpoints, which test images, tables, and application settings. It allows testers to create, maintain, and perform functional tests across desktop, web, and mobile applications.

Features:

• AI-Based Optical Character Recognition (OCR): Leverages AI-based OCR to identify things based on their text content.
• AI-Driven Test Optimization: Improves test execution by detecting and prioritizing key tests. This guarantees that the most important tests are tested first, increasing the efficiency of the testing process.
• Self-Healing Tests: Uses artificial intelligence to automatically find and resolve errors in test scripts as the application changes.
• Visual Recognition: Harnesses AI-powered visual recognition to test actions like clicking or hovering text on charts, plots, and maps.

SeaLights

SeaLights is an AI-powered quality management tool that uses machine learning and advanced analytics to optimize software testing. It tracks changes in the code and test execution process to provide complete visibility of quality risks across the delivery pipeline.

This implies that testers can easily organize and manage tests while leveraging the AI capabilities of SeaLights to enable continuous testing.

Features:

• AI-Powered Test Optimization: Uses AI to assess code changes and prioritize the most critical test cases.
• Proof of Testing for Release: Provides documented evidence of comprehensive testing before software release. This proof of testing is critical for meeting compliance or regulatory requirements, fostering trust, and ensuring a smooth release process.
• AI-Powered Insights and Analytics: Captures data from the test executions using AI algorithms to correlate these data sets.
• AI-Driven Test Impact Analysis: Assesses which tests are needed based on code changes.

Katalon Studio

Katalon is a comprehensive AI testing tool that supports web, API, mobile, and desktop applications. It incorporates AI capabilities to enhance test automation, such as auto-healing for flaky tests, smart object detection, and script generation. These AI-driven features help testers automate processes more efficiently, reduce test maintenance, and identify potential issues quickly.

Features:

• AI-Powered Test Data Generation: Uses artificial intelligence to generate realistic test data based on the application’s requirements.
• AI-Powered Test Maintenance: Updates test scripts automatically whenever changes are made in the software application.
• Smart Wait: Uses AI to dynamically adjust wait times based on the application’s response. This prevents tests from failing due to timing concerns, hence enhancing test execution reliability.
• AI-Powered API Test Generation: Generates API test cases based on OpenAPI/Swagger specifications.

Worksoft

Worksoft is an enterprise test automation platform. It is developed based on complex enterprise applications with a focus on business process validation. Its key concept is ensuring the smooth running of critical business processes across multiple platforms, including SAP, Oracle, and Salesforce. It has inbuilt intelligent AI automation capabilities like self-healing and test optimization.

Features:

• LiveTouch: Allows users to graphically edit and update tests without writing any code.
• Process Compare: Uses AI to graphically compare tests side by side, discovering and deleting redundant tests to decrease maintenance time.
• AI Search: Provides an AI-powered process search to assist in identifying duplicate processes and maintaining automation libraries clean.
• Natural Language Test Authoring: Supports writing test scripts using natural language input.

OpenText UFT One

OpenText UFT One is an AI testing tool for functional testing that speeds up test automation for desktop, web, mobile, mainframe, composite, and packaged enterprise-grade applications. It was previously known as Micro Focus Unified Functional Testing and QuickTest Professional. It supports keyword and scripting interfaces, making it adaptable to diverse testing requirements.

Features:

• AI-Based Object Recognition: Uses AI, ML and advanced OCR to recognize advanced objects.
• Natural Language Script Creation: Integrates AI-based object identification, object interaction, and natural language script generation.
• Predictive Test Execution: Prioritizes and optimizes test execution based on historical data.
• Cross-Browser and Device Testing: Leverages AI to ensure that software is compatible across various browsers and devices.

Parasoft SOAtest

Parasoft SOAtest is an enterprise-class solution that takes the complexity out of business-critical transaction testing through APIs, message brokers, databases, mainframes, ERPs, browser-based user interfaces, and other endpoints.

It supports QA assurance in making business applications secure, reliable, and compliant by offering a simple interface for creating, maintaining, and executing end-to-end testing scenarios.

Features:

• AI-Powered Test Creation: Harnesses AI and machine learning to automatically generate functional tests from recorded traffic.
• AI-Driven Service Virtualization: Simulates API responses to optimize test environments.
• Smart API Test Generator: Uses AI to monitor API traffic and convert it into useful API test scenarios.
• Impact Analysis: Monitors APIs for changes and displays the corresponding test cases that require adjustments.

Telerik Test Studio

Telerik Test Studio is an automated result-driven testing tool created for web, desktop, and mobile applications. It supports functional, load, performance, and API testing, providing comprehensive testing to ensure the application quality. Using Telerik Test Studio, technical and non-technical users can run and maintain automated tests.

Features:

• AI-Based Visual Testing: Automates UI validation through AI-driven visual checks.
• Machine Learning Element Detection: Enhances element recognition for more reliable testing.
• AI-Enhanced Test Management: Integrates with a variety of test management tools and employs AI to speed up the design, management, and execution of test cases.
• Self-Healing Tests: Uses AI to automatically find and fix issues in test scripts as certain elements in the application change.

Squish

Squish is an end-to-end GUI test automation tool developed by FrogLogic. It has been designed to automate graphical user interface and Human-Machine Interfaces (HMIs) testing on platforms such as desktop, web, mobile, and even embedded applications. Besides that, it supports testing on several platforms like Windows, macOS, Android, iOS, etc.

Features:

• AI-Driven Test Optimization: Optimizes test execution by finding and prioritizing the most important tests.
• Pattern Recognition in Tests: Uses AI to detect patterns and improve test coverage.
• AI-Infused Visual Testing: Offers visual testing features that employ AI to compare full-page screenshots or particular elements.
• AI-Powered Insights and Analytics: Provides detailed insights and data from test runs

Digital.ai

Digital.ai is a scalable web and mobile app testing solution that improves test coverage and enables organizations to make data-driven choices. This AI testing tool enables testing teams to execute functional, performance, and accessibility scenarios on a large scale, as well as simplified AI-powered test creation, which allows team members to generate automated scripts.

Features:

• Predictive Insights: Leverages AI to provide visibility into potential risks and bottlenecks. This includes change risk prediction by using historical data to foresee and mitigate issues before they occur​.
• Autonomous Testing: Automates test creation using self-learning capabilities, making it easier to generate and execute tests, especially for mobile applications​.
• Deployment Intelligence: Enhances visibility into software deployment, capturing manual tasks and their impact, helping to optimize application performance and reduce risks during deployment​.
• Self-Healing Test Automation: Updates test scripts to match UI changes.

Mabl

Mabl is an intelligent test automation tool to help Agile teams create, execute, and manage end-to-end tests with minimum hassle. It has a low-code approach; hence, one does not need to be a coding expert to use this tool. Mabl provides seamless integration into your existing automated pipelines so that technical or non-technical team members can chip in easily during the testing phase.

Features:

• AI-Powered Auto-Healing: Identifies and fixes failed test cases caused by changes in the application’s user interface.
• Smart Wait: Modifies wait times within tests, increasing test reliability and lowering failure rates.
• Visual Change Detection: Identifies unexpected UI changes, contributing to a consistent user experience.
• AI-Driven Element Selection: Provides more accurate tests through Smart element detection.

Test.ai

Test.ai is an AI-driven testing tool to automate functional and user interface testing. It uses machine learning models to autonomously create and execute tests, identifying issues like bugs or performance bottlenecks.

Its AI engine mimics human interactions, helping teams test software applications faster and more efficiently across various platforms and devices. This allows for continuous testing and quicker releases with minimal manual intervention.

Features:

• AI-Driven UI Testing: Uses machine learning to automate UI tests across devices.
• Self-Healing Tests: Adapts to UI changes automatically, ensuring robust test coverage.
• Intelligent Test Prioritization: Assesses risk and prioritizes tests accordingly.
• Automated Test Case Generation: Creates tests based on user behavior patterns.

testRigor

testRigor is an AI-powered test automation tool that lets you create tests using simple instructions. It supports web, mobile, and desktop applications, making it suitable for a variety of testing requirements. testRigor aims to simplify test maintenance while increasing test coverage by automatically producing and maintaining tests. It easily integrates into existing development workflows and CI/CD pipelines.

Features:

• Plain English Test Creation: Allows you to create tests in natural language, making them accessible for non-technical users.
• AI-Driven Test Generation: Creates and maintains tests, decreasing the effort required for test maintenance.
• Predictive Failure Prevention: Uses AI to predict and prevent flaky tests.
• Natural Language Processing: Supports test creation with plain text inputs

Appvance

Appvance is an AI-powered test automation tool that enables web, mobile, and API testing. It has self-healing tests that react to changes in the software application, lowering maintenance requirements. Additionally, it works seamlessly with CI/CD tools, allowing for continuous testing and faster feedback cycles. With the advanced use of AI technologies, Appvance makes testing fast and simplifies quality assurance.

Features:

• AI Script Generation: Analyzes software application functionality and user flows autonomously, generating test scripts that do not require human involvement.
• AI-Driven Automation: Automates a variety of testing tasks, including test script creation, execution, and analysis.
• AI Regression Test Generation: Provides regression test scripts based on actual user flows. These scripts are intended to validate the application’s functionality following changes or upgrades.
• Self-Healing Tests: Comes with self-healing features that detect and respond to changes in the software application. When the application’s interface changes, the AI can change the test scripts accordingly.

Aqua ALM

Aqua ALM is an AI testing tool to organize and make test management easier. It has AI-based features that ensure enhancement in efficiency, accuracy, and quality of the testing activities. Aqua ALM is a comprehensive platform to support the whole Software Development Life Cycle (SDLC), from requirement management to defect tracking and test execution.

Features:

• AI-Powered Test Case Generation: Uses AI to generate complete test cases from requirements. This capability enables testers to easily design detailed test scenarios, which eliminates the need for writing test cases.
• Adaptive Test Maintenance: Identifies changes in the application being tested and modifies the test cases accordingly. This adaptive maintenance guarantees that tests are relevant as the application evolves, decreasing the time and effort necessary to keep tests up-to-date.
• AI-Driven Test Optimization: Improves test execution by recognizing and prioritizing critical tests. This guarantees that the most important tests are done first, increasing the efficiency.
• AI-Powered Requirement Management: Turns speech into requirements, builds test cases, and identifies patterns.

While you play with the above-mentioned AI testing tools, there are a few areas around AI every modern tester should master. Check out the video below that explains the essential skills for modern testers, including testing AI, testing with AI, testing FinOps, and testing data quality.

Subscribe to the LambdaTest YouTube Channel for more such videos around AI and software testing.

Conclusion

AI testing tools are revolutionizing software quality assurance in 2024 with their efficiency, accuracy, and speed. These tools also bring considerable benefits, which include characteristics such as self-healing, adaptiveness in test maintenance, and AI-powered test optimization. It automates the repetitiveness that the human testers engage in; this, therefore, helps humans to be able to focus more on strategic and exploratory testing for full coverage with less risk.

Whether it is about increasing the accuracy of the tests, reducing costs, or gaining scalability, AI testing tools offer the necessary creativity to handle concerns in the development of modern software. It will be important to adopt these advanced technologies for teams looking to develop high-quality software in a quickly changing digital setting.