5 AI Testing Tools You Need to Know About in 2025

To stay ahead of the competition, every software development company strives for faster release cycles and fewer production issues. Traditional testing tools that rely on manual script execution struggle to keep pace in this landscape. Fortunately, AI testing tools have come onto the scene to fill the gap.

Testing isn't just a phase in software development—it's a crucial process that ensures our software meets its requirements. It guarantees that the software meets all the necessary standards before shipping it to production, identifies defects early, and prevents costly production failures. AI testing tools speed up and streamline testing, playing a significant role in meeting today's elevated software quality requirements.

In this post, we’ll examine the top five most popular AI testing tools. After reading this post, you'll be able to choose the right tool for your organization, enabling faster delivery of high-quality software products.

What Is an AI Testing Tool?

Imagine a software solution that can apply cutting-edge technologies like machine learning (ML), natural language processing (NLP), generative AI, and data analytics to various stages of the software testing life cycle. That's what an AI testing tool is. It's more than just a tool; it's transforming the world of software testing.

It's more than just a tool; it's transforming the world of software testing.

Key Features of AI Testing Tools

AI testing tools go beyond traditional script-based testing tools by using AI to provide the following features:

1. Automated test script creation helps generate executable test scripts using the natural language of manual test cases and specifications documents. Therefore, this feature reduces the need for manually coded scripts.
2. Generate element locator automatically generates locators by identifying the document object model (DOM) structure of the dynamic components of the user interface (UI).
3. Self-healing scripts update reliable locators for the UI elements every time a new feature is added or updated. Consequently, this feature reduces test flakiness and maintenance efforts.
4. Visual testing compares application screens using advanced image recognition and pixel-by-pixel validation for detecting UI irregularities and layout problems that manual tests might overlook.
5. Test execution via AI agents can simulate user interactions across web and mobile platforms and execute test scripts.
6. Analytics and reporting features evaluate large volumes of test execution data to produce actionable insights. Therefore, these features facilitate data-driven quality assurance (QA) decision making and continuous improvement.

Why Use AI Testing Tools?

AI testing tools bring the following benefits to the software development life cycle:

• Improved test coverage: AI lowers the development effort required to implement test scripts with good feature coverage. As a result, it helps software development teams achieve faster development cycles.
• Reduced test maintenance cost: Manually implemented tests often break with every UI change. AI testing tools can automatically update test scripts by detecting changes in UI layout and behavior. Consequently, this reduces maintenance effort and test flakiness.
• Smart test execution: AI testing tools can prioritize tests based on various factors, such as code churn, test failure history, and test execution trends. Therefore, they can ensure that the most critical tests for the release are executed first.
• High confidence releases: AI testing tools with advanced analytics and error prediction capabilities can provide QA teams with more insights about a product's release readiness.

These improvements will result in faster software delivery and higher quality.

Top 5 Artificial Intelligence Testing Tools

Let's now dive into five leading AI-powered testing tools.

1. Autify

Autify is an AI-powered test automation platform that helps software teams create, run, and maintain reliable tests—faster and with less effort. Built on top of the Playwright framework, Autify enables low-code and full-code workflows, allowing teams to automate complex scenarios without being locked into proprietary formats.

The platform includes:

• Autify Nexus: A flexible, developer-friendly environment built on Playwright that uses Genesis AI to transform natural language and product requirements into robust, editable test scripts. With support for low-code test creation, full-code control, parallel cloud execution, and CI/CD integration, Nexus accelerates test development without sacrificing precision.
  
  
• Autify Mobile: A no-code mobile automation solution with intelligent screen recognition and real-device cloud testing for iOS and Android apps—enabling fast, reliable testing across mobile environments.

Features

Autify offers a suite of AI-powered features designed to accelerate test creation and reduce maintenance. At the core is Genesis AI, which analyzes product requirements or user stories and automatically generates test scripts—cutting down manual scripting time. Teams can also use the Natural-Language Recorder to describe test scenarios in plain English, making automation accessible even to non-technical users. Tests can be run in parallel in the cloud, integrated into any CI/CD pipeline, and exported to Playwright for full-code customization—giving teams total flexibility with no vendor lock-in.

Autify gives teams the speed of low-code with the power of full-code—no vendor lock-in, no compromise.

Use Cases

Autify is ideal for teams seeking to reduce test case creation, maintenance, speed up regression testing, and expand coverage—especially in agile and DevOps environments. It enables collaboration between non-technical testers and engineers, while maintaining full script-level control for teams that need it.

Pricing

Contact Autify for custom pricing.

2. Applitools

Applitools is a visual AI testing tool that reduces manual testing effort by automatically spotting UI anomalies that traditional testing might sometimes miss or take an extended time to detect. It has self-healing capabilities and can test dynamic content like documents, ads, news, or dashboards. It automatically generates tests from the sitemap and supports test creation using plain English. You can register for a free trial to explore its capabilities.

Features

Applitools allows teams to automate visual testing across multiple browsers and devices. Beyond web apps, it supports different UIs—images, media, PDFs, and Word documents—on any screen or device.

It offers core features like Eyes Visual AI for pixel-perfect regression testing, PreFlight for no-code test creation, and the Ultrafast Grid for scalable cross-browser testing. Its Execution Cloud ensures stable, self-healing test runs, while Autonomous Testing uses NLP to generate test flows from plain English.

The platform is highly flexible in its deployment. It can run in various environments, including behind firewalls, on-prem setups, private clouds, or the public cloud.

Use Cases

Applitools is commonly used in industries where pixel-perfect design is critical, such as retail, e-commerce, finance, media, news, and technology. Front-end teams can use it to quickly create tests for A/B experiments. It can also check for the proper color contrast ratio in the UIs per accessibility (a11y) standards.

Pricing

Applitools offers three plans:

• Starter: For small teams and startups. It includes 1,500 test runs, five parallel tests, five users, and 180 days of data retention.
• Preflight Pro: For growing QA and engineering teams. It includes over 4,000 test runs, 10 parallel tests, 10 users, and 365 days of data retention. 
• Enterprise: For large enterprise-grade QA organizations. It includes over 6,000 test runs, more than 15 parallel tests, 35-plus users, and custom data retention.

Pricing depends on several factors, including parallel runs, test volume, deployment model, and team size. Depending on your organization's needs, annual license costs can range from tens to hundreds of thousands of dollars. The Applitools Preflight Pricing page provides full pricing details and a comparison of plans.

3. TestComplete

TestComplete by SmartBear is a powerful test automation platform. Its AI-based object recognition engine automatically identifies dynamic UI elements.

TestComplete uses property-based and AI-powered visual recognition to support desktop, web, and mobile application testing. It supports load testing to test your application under high traffic conditions and visual testing to detect visual defects in the UI.

TestComplete and Zephyr Enterprise integrations support test automation and management. It can convert Gherkin-based test cases to UI functional tests using AI-powered object recognition and record-and-reply technology.

Features

TestComplete integrates with a wide range of applications, including bug-tracking tools such as Jira and Bugzilla, DevOps tools like Jenkins and Azure DevOps, source control systems like Git, and test management tools such as Zephyr. It provides real-time test dashboards and reports that give visibility to the progress status of parallel running tests.

Use Cases

TestComplete is popular for testing complex enterprise-packaged apps. It’s especially effective for data-driven testing and helps reduce the effort required to maintain the accuracy of automation testing. Using BitBar, it provides access to thousands of real browsers, devices, and configurations in the cloud to scale your testing environments.

Pricing

TestComplete comes in three variants (Base, Pro, and Advanced) and offers both fixed and floating license types. The pricing page of the SmartBear website compares features and the required license type. Alternatively, you can create a quote request or sign up for a demo from their site.

4. AccelQ

AccelQ is an AI-powered platform for codeless test automation on the cloud. It offers AI-driven test development and maintenance, test management, functional testing, and API validations for microservices. It allows seamless automation of full-stack web, mobile, API, and mainframe testing.

Features

AccelQ offers an AI-powered, no-code solution for testing and automating complex PDF workflows. It automates all stages of the QA life cycle—from test design and planning to execution.

Its no-code natural language editor accelerates test automation while requiring lower maintenance than traditional test scripts. You can run automated tests across multiple operating systems and devices without requiring setup or coding.

Additionally, it supports REST, SOAP, and microservices and integrates with tools like Jira, TFS, Jenkins, and Bamboo, enabling in-sprint automation for functional tests. It also provides agent-based cloud execution labs for web and mobile. These labs support parallel, cross-browser test execution without requiring costly infrastructure.

Finally, it includes a next-gen test management solution to track, organize, and analyze coverage of manual and automated tests.

Use Cases

Enterprises often use AccelQ for cross-functional automation. It enables testers and developers to collaborate without profound programming knowledge, making it suitable for large-scale agile and DevOps environments.

Pricing

AccelQ offers flexible pricing plans based on enterprise requirements. You can start your free 14-day trial on this page. You can find out more about pricing based on your specific requirements, such as single sign-on (SSO), storage for test results, advanced API access, and more on their website's pricing page.

5. Momentic

Momentic simplifies UI automation, regression testing, and production monitoring. It's simple to install and maintain, and its AI capabilities speed up test creation, maintenance, and deployment, saving valuable time for building new features and enhancements.

Features

Momentic can locate UI elements with just a description, validate assertions with natural language, and provide an interactive browser preview in its intuitive low-code editor. It can generate test steps using AI and triage flaky tests immediately.

Momentic also provides dashboards containing detailed reports about the test run status. Momentic makes its AI smarter, adapting to your application's behavior with every use.

Use Cases

Momentic supports both technical and non-technical teams. It can run your tests locally, behind a private network, within CI/CD pipelines, or in the cloud. It allows software engineers to quickly fix flaky scripts, enabling your team to build and maintain a robust test suite.

Pricing

You can book a demo of Momentic on this page.

If you want to reduce test script maintenance, improve coverage, or speed up release cycles, these AI testing tools are definitely worth exploring.

Conclusion

Modern software development teams can incorporate AI testing tools into their QA workflows to significantly improve testing efficiency, reduce costs, and ensure better test coverage. Furthermore, AI testing tools like Autify can give your team a competitive edge in delivering high-quality software products.

So, if you want to reduce test script maintenance, improve coverage, or speed up release cycles, these AI testing tools are definitely worth exploring. To take the next step, consider giving Autify a try or booking a demo to learn more!