Top 7 AI Testing Tools With Innovative Features For 2025

AI has reshaped the landscape of almost every industry around the world, and the software testing industry is no exception.

Through a lot of research, we have compiled the top 7 best AI testing tools that can bring your testing game to the next level. These AI-powered tools include:

1. Katalon
2. TestCraft
3. Applitools
4. Functionize
5. Mabl
6. AccelQ
7. Testim

What Are AI-based Testing Tools?

AI testing tools are software testing tools that leverage AI systems to enhance various aspects of the testing process. They assist QA teams in traditional testing activities (test creation, management, reporting, etc.) and perform more advanced cognitive tasks that previously required human intelligence.
 

AI-powered testing tools are a breakthrough in the software testing industry, bringing us closer to level 5 of the Autonomous Testing Benchmark.

📚 Read More: Autonomous Testing: A Complete Guide

The Role of AI in Test Automation

To better understand the role of AI in automation testing, we must first understand the concept of AI — an emerging buzzword.

Artificial intelligence (AI) is the simulation of human intelligence via machines. We have built sophisticated computer programs that can accomplish so many fascinating tasks; however, they are still programs, and they do exactly what they are instructed to do. 

AI is also a computer program, but what makes it different is that it has been trained with enormous volumes of data to the point that it can recognize patterns from the input data and decide the course of action. It can also learn and adapt to new information. This means we can leverage AI for more advanced cognitive abilities, and in test automation specifically, AI can be the game-changer, assisting QA teams in even more advanced tasks.

According to the State of Software Quality Report 2024, test case generation is the most common application of AI for both manual testing and automation testing, followed by test data generation. You can download the report for the latest insights in the industry.

Key Features of AI-based Testing Tools

With AI-enabled test techniques, testers can improve all stages of the Software Testing Life Cycle (STLC).

1. Test Script Generation

Creating test scripts used to take a lot of time. Testers had to read through requirements and understand the system deeply. Now, AI can speed this up by:

• Analyzing requirements, past test cases, and how the app behaves to suggest better test scripts

• Offering ready-made templates with helpful code snippets and comments

• Turning plain language instructions into full test scripts using AI

2. Test Data Generation

Good testing needs lots of test data. AI helps by:

• Creating synthetic data based on real test data

• Changing existing data to cover more test cases

• Improving the accuracy of current test data

• Scanning large code bases to understand context better

3. Intelligent Test Execution

Running tests manually on different browsers and devices can be slow. AI helps by:

• Organizing test cases clearly

• Picking the right tests for different browsers and systems

• Choosing which tests to rerun for updates or fixes

4. Smarter Test Maintenance

Updating test scripts after changes in the app is hard and time-consuming. AI makes it easier by:

• Finding replacements when something breaks (self-healing tests)

• Linking UI changes to the code to show which tests need updates

5. Root Cause Analysis

AI helps testers quickly find out what went wrong and why by:

• Looking at logs, performance data, and error patterns

• Tracing problems back to specific features or requirements

• Using knowledge from past issues to help solve new ones

📚 Read More: The Potential of AI in Regression Testing

Benefits of AI Testing Tools

AI testing tools offer teams several benefits, including:

• Essentially becoming an assistant for decision-making and analysis capabilities to QA teams.
• Accelerating many testing processes (most importantly test case and test script generation) to shorten release cycle, leading to faster time to market.
• Improving test coverage with instant and customized test data generation.
• Accommodating code changes better.

Top 7 AI Testing Tools You Should Know

The AI testing tools presented below are at the forefront of the industry, integrating AI technologies into their systems to revolutionize the way we test.

1. Katalon

Katalon is a comprehensive quality management platform that supports test creation, management, execution, maintenance, and reporting for web, API, desktop, and even mobile applications across a wide variety of environments, all in one place, with minimal engineering and programming skill requirements. Katalon comes with many AI features, including:
 

• TrueTest™: One of Katalon’s newest capabilities, can capture real user interactions, model their behaviors in a user journey map, then automatically generate test cases and test data and also measure test coverage on the user journey map.
• StudioAssist: A new feature in Katalon Studio, StudioAssist can turn a plain language input into code (Generate Code feature). You can also select a piece of code and use the Explain Code feature to quickly explain it for all stakeholders to understand.
• Katalon GPT-powered manual test case generator: Seamlessly integrates with JIRA and extracts relevant information from ticket descriptions to create customized and comprehensive manual test cases that align with the specified testing requirements.
• SmartWait: Intelligently pauses test execution until all the necessary elements appear on the screen, lowering the risk of false positives.
• Self-healing: Automatically fixes broken element locators and uses those new locators in subsequent test runs, reducing maintenance overhead.
• Visual testing: Indicates if a screenshot is taken during test execution using Katalon Studio, then assesses the outcomes using Katalon TestOps. AI algorithms are used to identify significant alterations in UI layout and text content that truly affect human users.
• AI-powered test failure analysis: Automatically categorizes failed test cases based on the root cause and suggests appropriate actions.
• Test flakiness: Understands the pattern of status changes from a test execution history and calculates the test's flakiness.
• Image locator for web and mobile app tests (Katalon Studio): Finds UI elements based on their visual appearance instead of relying on object attributes.
• Web service anomalies detection (TestOps): Identifies APIs with abnormal performance.

As one of the pioneers in the use of AI in software testing, Katalon continues to add more exciting AI-powered features to their product portfolio, empowering QA teams around the world to test with unparalleled accuracy and efficiency.

2. TestCraft

TestCraft by Perfecto is an AI-powered test automation tool based on Selenium. It offers features for both manual and automated testing, excelling at quickly delivering tests for web-based software.

Key features:

• User-friendly interface for constructing automated tests using drag-and-drop capabilities.
• Tests can be executed in parallel across multiple browsers and work environments without the need for strong coding skills.
• TestCraft's On-the-Fly mode generates a test model based on individual test scenarios, simplifying test step reuse.
• ML algorithm to identify web elements accurately, and quickly adapt to changes in the web application.

3. Applitools

Applitools is an AI-based test automation tool that has various applications, but it has been primarily used for testing, monitoring, and managing the visual aspect of apps. The tool is preferred by engineers and digital transformation teams due to its adaptability. It makes effective use of AI and ML to execute visual tests and is recognized for its fast and precise performance.

Key features:

• Effectively identifies visual bugs in apps, ensuring that no visual elements overlap, remain invisible, go off-page, or introduce unexpected features.
• Offers visual test analytics and reporting capabilities.
• The AI-powered feature Applitools Eyes accurately detects material differences and distinguishes between relevant and irrelevant ones.

Check out a G2's feature comparison between Katalon and Applitools. G2 is the world's leading tech review site, and this comparison table is based on authentic user reviews.

4. Functionize

Functionize is a cloud-based automated testing tool used for functional, performance, and load testing, providing a comprehensive solution. This tool incorporates AI/ML technology to accelerate test creation, diagnosis, and maintenance.

One notable advantage of Functionize is its simplicity. You can effortlessly perform tests by typing your desired test scenarios in plain English, and the tool's natural language processing (NLP) generates functional test cases. Additionally, it efficiently executes a large number of tests within minutes across various desktop and mobile browsers. If you're seeking a test automation tool, Functionize is definitely worth considering.

Key features:

• AI and NLP-based automation testing
• Test analytics and reporting tool for monitoring test results and software functionality
• Self-healing capabilities
• Test planning and editing capabilities
• Multiple browser support tools

5. Mabl

Mabl has a powerful and easy-to-use graphical user interface (GUI). It is an AI testing tool that enables low code testing without the need for scripting. This tool is ideal for busy teams as it allows high-speed testing throughout the entire software development process. Additionally, Mabl promotes collaboration between clients and managers at every phase.

Key features:

• Low code test capability to prioritize quality
• Intuitive intelligence and automated healing
• Data-driven capabilities for real-life test cases
• Comprehensive end-to-end testing via APIs
• Generates valuable insights for developers using data
• User-friendly dashboard for easy navigation

6. AccelQ

Accelq is an AI testing tool that automates test designs and plans, and executes them. It is beneficial for testing UI, mobile, API, and PC software, providing a comprehensive view of the entire QA lifecycle.

Key features:

• Automated test generation capabilities
• Intuitive dashboard included
• Features for predictive analysis and lifecycle test management
• API and comprehensive test view from A to Z

7. Testim

Testim Automate is a test automation platform that employs machine learning to tackle two common challenges in software testing: slow test creation and extensive test maintenance. With Testim, individuals without coding skills can quickly create end-to-end tests using its recording functions. Engineers can also leverage code to enhance these capabilities, combining the strengths of both approaches.

Testim enhances test maintenance with its innovative smart locators method. This method examines every element utilized in testing and assigns weights to hundreds of attributes for each element. Therefore, even if one attribute, such as an ID, changes, Testim can still locate the element, preventing test failures. The best part is that this process is straightforward, eliminating the need for complex and error-prone queries.

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