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+--- Thread: What are some of the best AI testing tools right now? (/Thread-What-are-some-of-the-best-AI-testing-tools-right-now)
What are some of the best AI testing tools right now? - alexrai - 11-05-2025
Top AI Testing Tools in 2025
AI testing tools are changing the way QA teams fulfill testing activities, with accuracy, speed, and scalability, taking testing processes that used to take an endless amount of time on the testing team manually. Here are the top AI testing tools that are working their magic this year, starting with the most sophisticated solution.
1. Keploy — AI-Powered Test Case Generator
Keploy is an open-source AI-powered testing tool that automatically generates test cases and data mocks from real API calls. It integrates directly with your workflow, records real traffic, and creates end-to-end test cases automatically. This ensures consistent, reproducible tests that reduce flakiness and improve test coverage.
Key Highlights:
- AI-based automatic test generation
- Works with any framework and CI/CD pipeline
- Faster debugging with high accuracy
- Ideal for API-first and microservices-based apps
2. Testim
Testim utilizes machine learning technology to accelerate the authoring, execution, and maintenance of automated tests. Its self-healing capabilities resolve broken tests inadvertently broken due to changes in the user interface.
Best For: UI and functional tests automated tests for web and mobile apps.
3. Applitools
Applitools utilizes visual AI technology in Visual AI testing and even finds the smallest visual bugs that manual and test automation tools may have missed.
Best For: Visual regression and cross-browser tests.
4. Mabl
Mabl includes low-code features, as well as advanced machine learning analytics. It adapts to UI changes and allows for detailed insights about tests going forward for more reliability.
Best For: Continuous testing in DevOps environments.
5. TestCraft
TestCraft uses Selenium and artificial intelligence to create tests without writing almost any code and execute faster. It maintains the tests on its own when there is a change to the UI elements.
Best For: Agile teams that want to focus on a codeless automation solutions.
6. Functionize
Functionize uses NLP (Natural Language Processing) to let users create tests in plain English. It’s cloud-based and scalable.
Best For: NLP-powered test authoring and scalability.
7. Eggplant AI
Eggplant uses AI to simulate real-world user journeys and detect performance issues from a user’s perspective.
Best For: End-to-end user experience and performance testing.
Conclusion
AI testing tools are changing the game with regards to automation—generating, writing, and executing tests with little human effort. Keploy is widely regarded as the most developer-friendly and AI-driven testing tool available for software teams in the modern organization. Utilizing AI-based testing is critical to being able to build software faster and more reliably.