20 Best AI Testing Tools in 2025

Though manual testing is crucial in software testing processes, AI testing tools enhance testing quality and efficiency. They go beyond traditional automation by using machine learning and artificial intelligence to provide intelligent testing solutions.

According to a report, over 97% of software testers are already using automated testing in their workflows. Here is the list of the top 20 AI-powered software testing tools that are dominant in the market, from open-source traditional tools to modern test automation platforms that offer free trials.

What are AI Testing Tools?

AI testing tools use Artificial Intelligence (AI) to enhance automated software testing. These tools provide AI-powered features that allow testers to generate automated test cases that are stable and self-healing. These tests are often adaptive to any changes that happen in the code, eliminating flaky tests.

They are built with advanced features that make the test case creation, execution, and maintenance quite easy. These tools assist manual testers in a myriad of testing activities throughout the entire testing lifecycle.

Why We Need AI Testing Tools?

AI testing tools improve the testing quality, efficiency, QA productivity, and ensures comprehensive coverage by covering edge cases and complex test scenarios.

AI-powered test automation tools benefit business teams by saving time, cost, and efforts. It provides intelligent test automation solutions, from autonomous test creation to actionable insights. We will discuss the benefits of top AI-powered test automation platforms in the below sections.

20 Top AI-Powered Testing Tools

Here is the list of the top AI-powered tools currently popular among testers, from open-source AI testing tools to modern AI-driven automated testing tools. Let’s have a look.

1. Testsigma

Testsigma is a powerful, cloud-based, codeless GenAI-powered test automation platform that allows you to automate end-to-end testing for complex and enterprise applications. It makes your test automation process 10x faster by simplifying the entire test creation, execution, reporting, and maintenance process.

Testsigma Copilot is a GenAI assistant for Quality Assurance teams to improve testing quality and productivity. It enhances the entire software testing process from test creation process to proving intelligent insights for debugging.

Key Features

AI-powered test case generation: Generate automated test cases in seconds using prompts, user stories, Figma designs, screenshots, etc.

Unified platform: Perform web, mobile apps, desktop apps, APIs SAP, and Salesforce testing in one platform. No need to switch between multiple tools.

90% test coverage: Get comprehensive test coverage by covering edge cases and complex scenarios using automated test suggestions from Copilot.

70% reduced test maintenance: Auto-healing tests adapt to element changes and prevent test failures.

Zero setup time: No need to spend time setting up any testing infrastructure. Create a free account and access the testing platform on the cloud.

Zero coding: Testsigma provides a simple and intuitive no-code interface, allowing manual testers to create tests without scripting. Minimal to zero technical expertise is required.

Data-driven testing: Data-driven capabilities for real-life test cases, allowing you to automate your tests and get reliable results

Continuous Testing: Supports 30+ integrations with top CI/CD and DevOps tools for continuous integration and continuous deployment for faster and high-quality releases.

AI-powered insights: Get actionable and intelligent insights after every test run, allowing faster debugging and collaboration.

Integration support: Provides seamless integrations with 30+ top CI/CD tools, project management, collaboration, and bug-tracking tools.

Minimal learning curve: The no-code testing approach allows manual testers to quickly create automated tests in plain English using Copilot, NLP, or Recorder.

Visual AI testing: Run visual and functional tests in parallel in the same run.

Accessibility testing: Identify and fix accessibility issues with codeless accessibility testing.

Regression testing: Automate time-consuming, repetitive tasks, and complex testing tasks and save regression testing time.

Real-device testing: Test across 3000+ real devices, browsers, and platforms on the cloud for cross-browser and cross-device testing.

Here is a quick sneak-peek into how Testsigma Copilot leverages Generative AI for automated test case generation, self-healing, and test management:

Testsigma is best for complex applications and enterprise applications, allowing testing teams to automate end-to-end testing for web, mobile, APIs, desktop, SAP, and Salesforce. Further, it supports parallel testing which helps cut down the test execution time, speeding up quality releases.

2. Selenium

Selenium is a popular open-source test automation framework. It supports only web application testing. Selenium is equipped with AI offering features such as AI-powered element locators, self-healing tests. It requires extensive programming language to create test scripts.

Features

• Extensive support for cross-browser testing
• Strong and active community support
• Open-source framework
• Deep learning curve due to extensive coding

Check here – Testsigma vs Selenium

3. TestCraft

TestCraft is built on top of Selenium. It was acquired by Perfecto and is currently named Perfecto Scriptless. It allows users to automate web and mobile app testing using both manual and automated testing. It is beneficial for teams with limited coding experience.

Features

• Multi-language support. Developers can create scripts in multiple languages and run them on the tool.
• Has a copy-to-clipboard feature where users can copy tests and paste them into the clipboard
• Easily integrates with other tools

4. Appvance

Appvance is a software testing tool that leverages AI to accomplish testing tasks. It supports web, mobile, and API testing. It supports self-healing, thereby reducing test maintenance efforts. Also, it integrates with CI/CD tools for continuous testing of applications.

Features

• Appvance can analyze the test runs, keeping the application’s exploration in mind. This allows the tool to provide new test cases for the missing areas and conduct exploratory testing in the process.
• Appvance’s artificial intelligence can explore all the paths from every point to create newer test cases and expose hidden points for testing.
• Since Appvance explores various deep points in the application, it can define a complete health chart, which is essential in understanding any future flaws that arise very early in the system.
• Supports test creation in low-code format or just operates the application like manual testing and converts actions into test cases easily.

5. Worksoft Certify

Worksoft Certify is another test automation tool in this list for enterprise applications. It is specially tailored for complex enterprise applications and specializes in automating business process validation with a focus on ensuring that critical business workflows function correctly across diverse systems such as SAP, Oracle, and Salesforce. 

Features

• AI-powered automation features such as self-healing tests and test optimization.
• Although a scriptless test automation platform, it still comes with a good learning curve. 

6. OpenText UFT One

OpenText UFT One is a functional testing software equipped for both front-end and back-end functional testing. It helps accelerate testing and provides AI-based technology to understand application elements and learn the intricacies along the way.

Features

• Supports API, end-to-end testing, SAP testing, web testing, and more.
• The tool comes with object recognition and identification of visual patterns that help identify elements based on patterns rather than locators.
• Provides functional labs for testing mobile applications using cloud infrastructure. 
• Supports parallel testing, which helps cut down time and shorten the feedback loop for release.

7. Telerik Test Studio

Telerik Test Studio is a modern test automation platform that allows developers, testers, and managers to easily manage test automation. The Test Studio incorporates patented algorithms that help stabilize tests and increase test coverage across the suites without any additional work.

Features

• Telerik Test Studio provides a record-and-playback facility to record the automated test and run it on multiple sessions later.
• The platform provides an intensive monitoring feature to easily observe all the anomalies at the micro level.
• Provides multiple features to minimize the tester’s maintenance work. This includes unique element detection (patented), a centralized object repository, and intelligent suggestions.
• The platform covers multiple test domains, such as web test automation, desktop automation, API automation, and responsive testing.

8. Sauce Labs

Sauce Labs is an AI-driven test automation tool that supports testing of web and mobile apps. It is a low-code testing tool that supports cross-browser testing, visual testing, load testing, and mobile testing.

Features

• Low-code testing for web application
• An error reporting tool that monitors and generates reports for errors
• Perform automated visual and UI tests
• Test across real devices, browsers, and platforms

9. TestComplete

TestComplete is an intuitive tool with dynamic UI testing elements. Additionally, it contains a feature known as checkpoints, which tests images, tables, and app properties. It is a scriptless tool that allows users to trigger tests using keywords or the record-and-play feature. 

Features

• Non-stop testing for DevOps
• Data-driven testing for mobile UI, PC, and web-based app tests
• BitBar feature for scaling mobile and web tests
• Ability to reuse automated UI tests for a wide range of projects
• Data-based and automated reporting and analysis tools

10. Katalon Studio

Another popular tool in the test automation space is Katalon. It comes with the ability to provide an all-in-one solution with an intuitive interface, which allows users to create, execute, and manage automated tests efficiently. Not to mention that it is built on top of open-source automation frameworks, such as Selenium and Appium, with a specialized IDE interface for web, API, mobile, and desktop testing. 

Another aspect that makes Katalon quite popular is the ease of use that even non-technical individuals or beginner testers can employ for building and running tests. It allows scriptless test creation and advanced scripting option for complex testing process.

Features

• Smart Wait feature improves test stability by dynamically adjusting wait times for web elements.
• Integrates seamlessly with CI/CD pipelines for robust reporting and analytics.
• AI capabilities include self-healing, automated test generation, AI-powered analytics, and NLP-based test scripting.
• Employs machine learning algorithms to recommend test objects and automatically heal broken test scripts.
• Deep learning curve but less when compared to script-based automation tools.

11. Tricentis TOSCA

Another famous tool in this list is Tricentis TOSCA. It offers comprehensive, end-to-end testing through a model-based testing approach. TOSCA allows users to create reusable test assets with minimal scripting. Its use of AI includes advanced test case design, self-healing automation scripts, and intelligent test data generation.

TOSCA avails AI to analyze historical data and predict which areas of the application are most likely to fail and to help prioritize test cases based on potential business impact for risk-based testing. For efficient test data management, AI algorithms assist in generating and managing test data that are realistic and near to real life scenario.

Features

• Supports a wide range of technologies, including web, mobile, API, and desktop applications.
• Integrates seamlessly with CI/CD tools, facilitating continuous testing and DevOps practices.
• Comes with extensive support for SAP and other enterprise applications.
• Has strong reporting capabilities for comprehensive test management and analytics.
• Risk-based test optimization and powerful test data management. 

12. Keysight Eggplant Test

Eggplant is a modern AI-driven test automation tool built by Keysight for comprehensive and efficient software testing. It focuses on user-centric testing by simulating real user interactions and provides end-to-end testing capabilities across various platforms, including web, mobile, and desktop applications.

By using image recognition and machine learning, this tool can execute tests based on visual elements. 

Features

• Utilizes AI-driven capabilities and machine learning to mimic user interactions when executing test cases.
• Employs image recognition technology to interact with the application’s user interface.
• Supports cross-browser testing on a combination of OS and devices.
• Offers a scriptless test creation environment, making it an ideal choice for non-technical and time-bound projects.
• Seamlessly integrates with CI/CD pipelines.

13. Mabl

Mabl is another test automation tool that is suitable for web app application testing. It supports low-code automated testing capabilities and does not require much coding to create test scripts.

Features

• Minimal coding knowledge is required
• Self-healing tests for stable tests
• Supports data-driven testing
• Provides test insights for testers
• Simple interface so it is easy to navigate

14. Testim

Testim by Tricentis is another automated testing tool that is suitable for web and mobile applications. It uses AI and ML algorithms to create, execute, and maintain automated tests.

Features

• Drag-and-drop interface to develop tests
• Smart element locators for self-healing
• Supports mobile browsers for cross-browser and cross-platform testing
• Integrates with CI/CD tools

15. AccelQ

AccelQ is a cloud-based testing platform that supports web, mobile, and API testing. It supports low-code testing for easy test creation and automation. It can be quite expensive for smaller projects or business teams with limited budget.

Features

• Provides an intuitive dashboard
• Low-code test creation capabilities
• Supports CI/CD integration
• Provides a user-friendly interface

16. Functionize

Functionize is also an automation testing tool that leverages AI techniques. It supports integration with CI/CD tools enabling continuous delivery. It supports functional, performance testing and load testing of web applications.

Features

• Supports self-healing automation capabilities
• Multiple browser support
• Integrations with CI/CD and DevOps tools
• Intuitive dashboard with reporting capabilities

Apart from the AI-powered testing tools, there are a few other AI-based test management tools or software quality tools that help streamline the QA process, which we will discuss here,

17. Digital.ai

Digital.ai brings artificial intelligence into analytics and reporting, giving testers and business owners meaningful insights that help them make better business decisions.

While most of the tools have been focusing on developing test scripts and bringing the codeless environment into the picture, Digital.ai targets processes that start after the execution is completed.

Features

• The tool provides assessments of agile solutions to bring transparency into the infrastructure from one end to another.
• Digital.ai provides easy deployment services with templates that testers can use to automate the deployment process easily.
• Digital.ai brings DevSecOps into the picture, where security is at the core of the process. This allows testers to monitor their application’s security without worrying about issues such as reverse engineering and responding to threats.

18. Aqua ALM

Aqua ALM leverages its natural language processing capabilities to perform tests. It is one of the AI driven test automation tools with multi-lingual testing capabilities. Additionally, this web-based platform offers high flexibility, full visibility, and easy-to-use tools. 

With this platform, developers can speed up their test time and do more tests. Furthermore, it is designed as a test management system for busy companies. Specifically, the tool is a perfect choice for large technology companies.

Features

• It allows centralized test management by multiple departments
• Generates reports for test execution
• Has a feature for detecting and correcting defects
• Automatically generates tests
• Contains budgeting and forecasting tools
• Feature for permissions and access controls

19. Symflower

Gaining control over large language models directly instead of providing cooked generic software brings Symflower as a unique tool into the market. The LLMs are trained using high-quality data and can be tuned according to the requirements of the business. The tool developers claim a test execution time reduction of 29% with the adoption of Symflower.

Features

• Symflower provides a complete setup for writing and maintaining test cases written in Java, Sprint, or Sprint Boot. This includes providing a template and complete test suite.
• Once integrated into the IDE, Symflower can diagnose the test cases and detect potentially unwanted pieces of code (or missing exceptions) to prevent test failures in the future.
• Symflower comes as a plugin for popular IDEs such as IntelliJ and VSCode.
• Symflower comes with a code repair and linting facility through which the code can be checked and fixed on the go during the run.

20. Sealights

Sealights is an AI-driven quality management tool that leverages ML and advanced analytics to optimize software testing. It monitors the changes in the code and test execution process to provide end-to-end visibility of Quality Risks across the delivery pipeline. That means testers can easily manage and supervise the tests while the tool supports continuous testing through its AI capabilities.

Overall, Sealights boasts of providing the visibility, traceability, and metrics that are needed to deliver high-quality software at the speed of DevOps.

Features

• Automatically identifies the tests that need to be executed based on recent code changes.
• Prioritizes testing efforts on high-risk areas of the code to ensure critical functionalities undergo thorough testing.
• Provides detailed insights and metrics on test coverage, quality trends, and potential risks.
• Supports integration with CI/CD pipelines.
• Utilizes ML to predict potential defects and vulnerabilities in the code.

Benefits of AI Testing Tools

A survey revealed that 60% of respondents cited enhanced automation testing efficiency as the biggest benefit of using AI-driven test automation platforms.

They offer several benefits to testing teams, including:

• Improved accuracy of test results
• Saves an ample amount of time and cost as you can test software applications without writing any coding.
• Enhanced defect-tracing capabilities
• Self-healing capabilities after encountering errors
• Scriptless test automation platforms make the test creation process faster and more efficient with AI and ML algorithms.
• Continuous testing for faster deployment and high-quality software
• Nearly zero maintenance needs
• Improved API testing capabilities

Key Takeaways

AI in software testing is revolutionizing the test automation space in terms of speed, efficiency, and QA productivity like never before. It helps minimize errors, improve accuracy, saves time, and enables effective software delivery without much manual intervention.

While minor mishaps are expected to occur even when using AI-driven automation, they can improve with time. Reports show that businesses that use AI for testing, in any form, report almost a 30% reduction in testing costs and a 25% improvement in testing efficiency. However, it is best to evaluate each tool before choosing the appropriate one for your project.