9 Best AI Testing Tools for QA and Developers (2024)

As the demand for high-quality software grows, developers need efficient ways to test applications to meet user expectations.

Integrating artificial intelligence (AI) into testing tools has transformed how QA teams and developers approach software testing.

These tools provide smart solutions to automate repetitive tasks, identify potential issues quickly, and help deliver products faster.

But with hundreds of options available, choosing the right AI testing tool can be challenging.

That's why we spent 48 hours comparing the top AI testing tools to help you find the best solution for all your testing needs.

What are AI Testing Tools?

AI testing tools are software applications that use artificial intelligence and machine learning to automate the process of software testing.

Using AI algorithms, these tools can learn from past data and adapt to changes in the application with self-healing capabilities.

These tools make tasks such as test case generation, execution, and maintenance easier, thus increasing developers productivity.

Importance of AI in Software Testing

The rapid development and increasing complexity of software applications make manual testing insufficient and time-consuming.

Using AI-powered tools in your testing processes can save testing time by up to 50% and increase bug detection rates by 30%.

Here are some benefits of AI testing tools:

• Intelligent Test Generation: AI tools can automatically generate test cases based on user behavior. This eliminates the need for manual testing and reduces human errors.
• Increased Test Coverage: AI automation testing tools can handle large datasets, covering more test scenarios and edge cases with greater accuracy for more comprehensive testing.
• Predictive Analysis: AI uses machine learning algorithms to predict potential issues based on system behavior, allowing teams to address problems proactively before they reach production.
• Time and Cost Efficiency: By automating repetitive tasks, AI tools reduce the costs and effort associated with manual testing and speed up the testing process, allowing faster release of quality software.
• Test Prioritization: AI can prioritize tests based on risk analysis and business impact. This enables organizations to optimize their resources by focusing testing efforts on the most relevant and high-impact scenarios.
• Improved Quality: AI testing tools can detect bugs that might be overlooked by human eyes, leading to improved quality assurance.
• Continuous Testing: AI tools integrate with CI/CD pipelines for automatic testing, allowing developers to verify that any code changes do not introduce new bugs.
• Scalability: AI testing tools can handle large and complex applications, which makes them suitable for projects of all sizes.

Tip: You can use Lost Pixel to automate the entire process of UI regression testing in minutes and identify any potential issues before your users.

Top 9 AI Automation Testing Tools

Now that you know the importance of AI tools for test automation, it's time to check out the best AI testing tools.

• Testim: AI-powered test automation and management.
• Mabl: Best for scalable test automation.
• Testsigma: For comprehensive test management and reporting.
• Perfecto: Best AI-powered root cause analysis.
• Functionize: AI/ML-powered scalable test execution.
• Eggplant: Model-based AI test automation.
• Leapwork: End-to-end visual test automation.
• Aqua: Centralized AI-enhanced test management.
• CodiumAI: For behavior-driven test coverage analysis.

Testim

Testim is a powerful test automation tool that uses AI to increase test coverage and reduce test maintenance.

It is well-known for its ease of use, quick authoring of well-designed stable tests and ability to adapt to changes in the application under test.

Key Features:

• It uses AI-driven smart locators that identify UI elements and self-heal as applications change to reduce costly maintenance.
• Codeless test creation so non-technical users can create tests without effort.
• You can also create custom test steps, explain and document code using generative AI.
• Record tests to capture user flows and create reusable test components.
• Quick troubleshooting with root cause analysis and test visualization.
• Cross-browser testing and parallel execution.
• Integration with CI/CD tools like Jenkins, CircleCI, Travis CI, and more.

Best for:

Scalable AI-powered end-to-end test automation and efficient maintenance with a self-healing smart locator.

Pricing:

Available upon request.

Mabl

Mabl is a modern, secure, cloud-native AI test automation platform for end-to-end testing of web applications.

Its advanced features accelerate test creation and reduce maintenance with multiple AI technologies.

Key Features:

• Low code/no code test creation so anyone can run and manage tests.
• Cross-browser and cross-platform testing (web, mobile apps, and API).
• Flexible testing methods: functional and regression, visual, performance, and acceptance testing.
• Data-driven testing and auto-healing capabilities.
• Smart element locators to identify app changes.
• It is an easy-to-use dashboard with a visual editor.
• Detailed test results with diagnostics data and collaboration features.
• Integrations with tools like Jira, Slack, GitHub, GitLab, Azure DevOps, and CircleCI.

Best for:

Highly resilient automated tests wit AI-powered auto-healing and visual change detection.

Pricing:

Free trial available. Pricing is available upon request.

Testsigma

Testsigma is a powerful AI test automation tool that allows users to create automated tests with natural language processing.

Its cloud-based platform and integration with CI/CD pipelines make it an excellent choice for scalable test automation.

Key Features:

• Codeless test creation so anyone can perform tests using plain English.
• Cross-platform support for web, mobile, desktop, and API test automation.
• Quick and efficient test maintenance and automation.
• Data-driven testing and automatic healing capabilities.
• Flexible testing methods: functional UI, visual, integration, regression, continuous testing, and parallel execution.
• Detailed reporting and analytics with automated test scheduling and report customization.
• Integration with all popular CI/CD tools.

Best for:

Comprehensive test management and advanced reporting with screenshots, videos, and logs.

Pricing:

Available upon request.

Perfecto

Perfecto is an AI-powered intelligent test automation platform designed to deliver web and mobile apps with speed and quality.

It offers a robust cloud-based automated testing solution ideal for testing on real devices and browsers against real-user conditions.

Key Features:

• Scriptless test creation with a visual, drag-and-drop interface to make testing easy for all users.
• Smart test execution with self-healing, elastic scaling and parallel execution.
• Supports multiple devices, OS, and browser combinations with full coverage for real and virtual devices.
• Remote debugging and collaboration features.
• AI-powered root cause analysis with heatmaps, noise filtering, screenshots, and crash logs.
• Integrations with test automation frameworks (Cypress, Selenium) and CI/CD tools.

Best for:

Efficient AI-driven root cause analysis with self-healing object identification.

Pricing:

• Free trial available.
• Pricing starts at at $83 per month.

Functionize

Functionize is an AI-powered test automation tool for testing modern apps at speed and scale.

It uses machine learning to accelerate the process of creating and executing tests, reduce test maintenance, and improve the reliability of test results.

Key Features:

• Create and manage test cases without writing code using Architect or plain English.
• Cross-browser testing and parallel test runs.
• It uses ML to record user interaction and generate relevant tests.
• Mobile devices (iOS and Android) testing with nested virtualization.
• Self-healing tests to reduce test maintenance.
• Perform functional, visual, and performance testing on scale with Functionize test cloud.
• Test data management with reusable scripts for increased coverage.
• Real-time analytics and reporting features to track test results.
• Integrations with CI tools like Jenkins or Azure DevOps.

Best for:

AI/ML-powered scalable test execution and visual testing with smart screenshots and live editing.

Pricing:

Free trial available. Pricing is available upon request.

Eggplant

Eggplant Test is an intelligent test automation tool that uses AI to test and monitor software applications.

It uses a model-based digital twin testing method to provide extensive coverage, optimize user experience, and speed up release cycles.

Key Features:

• AI-powered automation simulates real user interactions without requiring access to source code, which makes it highly secure.
• Scriptless test automation to reduce maintenance efforts.
• Full test coverage across any browser, device, OS, or platform.
• Intelligent computer vision UI/UX testing with character and image recognition.
• Get actionable insights into test results and performance metrics with AI-powered exploratory testing.
• Integrations with CI/CD tools like Bamboo, Jenkins, and GitHub.

Best for:

Full-stack automated tests and API evaluation for complete coverage and faster releases.

Pricing:

Available upon request.

Leapwork

Leapwork is an AI-powered visual test automation platform that simplifies creating, maintaining, and scaling automated tests across various applications and technologies.

Key features:

• Codeless test automation and generative AI to create data-driven tests faster.
• Automate Functional UI tests with a smart recorder to identify elements.
• Cross-platform automation across web, mobile, desktop, and virtual desktop environments.
• Support for running automation flows on remote machines.
• Hypervisual debugging with video recordings, activity logs, and data-level insights.
• Easy workflow management with test scheduling and reusable components.
• Integration with CI/CD tools like Jenkins, Bamboo, Azure DevOps.

Best for:

No-code test creation and business process automation.

Pricing:

Available upon request.

Aqua

Aqua is a powerful test management and automation platform that smoothens the entire software testing lifecycle.

It is known for its user-friendly interface, full visibility into your QA processes, and features supporting manual and automated testing.

Key Features:

• AI-powered test generation is based on context and requirements.
• Centralized test management for easily creating and organizing test cases, plans, and test runs.
• It can prioritize tests, track and remove duplicate tests and defects, and reuse test cases to save time.
• Customizable dashboards and detailed reporting features.
• Supports both cloud and on-premise deployment.
• Integrations with popular test automation frameworks and CI/CD tools.

Best for:

Comprehensive test management for test data, defects, and requirements, including custom workflows and detailed reporting features.

Pricing:

Available upon request.

CodiumAI

CodiumAI is a modern test automation platform and test writing assistant that leverages AI to make automated testing more effective.

It offers suggestions, analysis, and code improvements in your IDE so you can code smart and stay more productive.

Key features:

• CodiumAI automatically generates tests, so you don't need to code.
• Smart test suggestions based on code analysis, docstring, comments and user behavior.
• AI-assisted pull reviews, analysis and feedback.
• Get full visibility of how your code behaves upon changes, including edge cases and suspicious behavior.
• It analyzes only necessary code for security and privacy.
• Support for multiple programming languages and VS Code and JetBrains IDEs.

Best for:

Meaningful test suggestions and behavior-driven test coverage analysis to help identify gaps in testing.

Pricing:

• Free version available.
• Pricing starts from $19 per month.

Final Words

We have listed some of the best AI testing tools, each providing unique features that can help you enhance your testing activities and deliver top-quality software products.

By incorporating these tools into your testing strategy, you can stay ahead of the competition and become more productive.

FAQs

Which AI tool is used to generate Selenium code?

You can use Functionize to generate Selenium code automatically.

Is there any AI tool for manual testing?

AI tools are primarily used for automating testing processes and enhancing test efficiency, not for manual testing tasks.