AI in software testing has become ubiquitous. In 2024, 72% of companies used AI in at least one business function, which is a substantial jump from the 55% we saw the year before. Nearly every tool now leverages AI to provide added value.
With over a decade of experience and deep expertise in AI testing, QAwerk has curated a list of the most effective AI testing tools and AI automation software. We use most of these tools ourselves, so we’re happy to share our honest observations, including the good and the bad. Let’s get started.
Testim
If you’re researching AI automation tools, Testim might be a good fit. It’s a test automation platform designed to accelerate the testing of web, mobile, and Salesforce applications. Testim’s primary focus is functional and UI testing. It leverages AI features like self-healing tests, generative AI for test creation, and intelligent element locators. These AI capabilities enable automatic adaptation to application changes, faster test authoring from text prompts, and improved failure diagnosis.
Testim integrates with CI/CD pipelines and test management tools, facilitating end-to-end test automation and management.
- AI-powered self-healing tests
- Test case generation with AI
- Intuitive, low-code interface for rapid test authoring
- Integration with CI/CD and test management tools
- Strong diagnostic tools for quick failure resolution
- Pricing may be a factor for smaller teams
- Some advanced customization may require coding
Qase
Qase is an AI-powered test management platform meant to streamline both manual and automated testing processes. It’s built for QA teams and software developers looking to consolidate their testing activities into a single, efficient workspace. At QAwerk, we used Qase to brainstorm new test scenarios and identify potential edge cases for BeFamily, a family management and communication platform. We provided comprehensive testing prior to its initial release, and maintain the ongoing testing program.
Qase’s core AI feature is the ability to convert manual test cases into automated tests, supporting various languages and frameworks. Additionally, it offers customizable dashboards for data analysis, extensive integration capabilities with over 35 tools, and features like shared test steps to enhance collaboration and efficiency.
- AI-powered conversion of manual tests to automated tests
- Comprehensive platform for both manual and automated testing
- Extensive integration with various frameworks and tools
- Customizable dashboards for insightful reporting
- Role-based access for easy collaboration with internal and external stakeholders
- AI conversion may not be perfect for highly complex tests
- Some advanced customization may require API knowledge
“We’ve used Qase in several testing projects, and it has become our go-to tool for generating test case scenarios and increasing test coverage. Since our critical infrastructure is in the cloud, it’s a perfect solution for our distributed team. Qase’s interface is super simple and intuitive—we saw no onboarding friction, and the team picked it up almost instantly,”
Sauce Labs
Looking for AI testing tools that will help you ensure the quality of your mobile and web applications at scale? Then Sauce Labs may be the right choice for you. It’s a cloud-based testing platform that provides a unified environment for continuous testing, supporting various stages of development with real devices, emulators, simulators, and browser/OS combinations.
The primary focus of Sauce Labs is cross-browser testing and cross-device compatibility testing. Core AI features include machine learning-driven insights for failure pattern analysis, intelligent visualization of test results, and trend analysis to uncover quality blockers.
- Extensive device and browser coverage
- AI-driven insights for improved efficiency
- Cloud-based infrastructure eliminates maintenance
- Parallel testing capabilities for faster results
- Integrated results and diagnostic tools
- Potential cost for extensive usage
- Requires scripting knowledge for automated test creation
Applitools
Applitools is an AI testing tool that enables comprehensive end-to-end testing for software applications, focusing on both functional and visual aspects. Applitools is designed to work for web apps, mobile apps, and even PDFs.
The platform’s primary focus encompasses visual testing, functional testing, API testing, accessibility testing, and cross-browser/device testing. Core AI features include Visual AI for detecting UI regressions and layout issues, automated regression testing, and intelligent analysis of visual changes.
- AI-powered visual regression testing
- Simplified test scripting and reduced maintenance
- Comprehensive end-to-end testing capabilities
- Cross-browser and device testing support
- Ability to test PDF files visually
- Reliance on AI accuracy for visual analysis
- Possible overreliance on visual testing, and a tendency to miss some traditional functional bugs
Spling
Searching for AI testing tools that can automatically scan and analyze entire websites for spelling and grammatical errors? Spling is perfect for website owners, content creators, and SEO pros who want to boost their site’s credibility and user experience with error-free content.
Spling’s AI is built to understand language deeply, including idioms and regional variations. It gives you detailed reports and clear tips for fixing errors, making proofreading a breeze. At QAwerk, we rely on Spling for localization testing. Specifically, we used Spling to verify ICONOMI’s error messages, date formats, and input validation across multiple languages.
- Comprehensive website-wide spelling and grammar checking
- Multi-language support with geographic variant detection
- Meta tag previews and SEO optimization assistance
- Actionable recommendations for error correction
- Automatic scans and report generation for efficiency
- Focuses primarily on text, and may miss other website issues
- Manual review of the identified errors is still necessary
- Potential limitations in understanding highly technical jargon
Axe DevTools
Shortlisting open-source AI testing tools? Axe DevTools uses AI to simplify accessibility testing for web and mobile apps. Developers, testers, and product owners can easily integrate it into their workflow, even without prior accessibility expertise.
It automates key tasks like UI object identification, color contrast analysis, and form validation using features like Intelligent Guided Tests (IGTs) and optical character recognition (OCR) for evaluating text associated with form labels.
At QAwerk, we used Axe DevTools when performing accessibility testing for Penpot, an open-source design and prototyping platform. We also used this AI testing tool when conducting a comprehensive study on The State of Web Accessibility for the U.S. Voters with Disabilities. For those interested in both the accessibility and security of their applications, we recommend exploring our list of open-source security testing tools.
- AI-driven automation for simplified accessibility testing
- Intelligent Guided Tests (IGTs) for easy issue-identification
- Comprehensive analysis of UI elements and color contrast
- Actionable code snippets and remediation guidance
- Reduces the need for deep accessibility expertise
- Reliance on AI accuracy, which may not catch all nuanced issues
- Complexity in handling very unique or custom UI components
- Dependence on the platform’s update cycle
“Axe DevTools has allowed us to improve the depth of our accessibility testing. We’ve been using it to verify keyboard navigation and ensure the page language is correctly specified in the code—which is crucial for screen readers to pronounce text properly. And that’s just scratching the surface. It’s also great for catching color contrast problems, checking UI element sizes and aspect ratios, and verifying form error states and visual focus indicators,”
AccessiBe
AccessiBe is an artificial intelligence testing tool that helps businesses achieve and maintain compliance with accessibility standards like WCAG, ADA, and EAA. It combines automated AI fixes with expert manual testing, offering plans to fit any budget. This tool simplifies web accessibility, opens broader markets, and reduces legal risks.
AccessiBe focuses on AI-powered scans and fixes, alongside manual adjustments, to improve web accessibility. Key features include screen readers and keyboard navigation support, custom fixes, and litigation support. AccessiBe also works closely with the disability community to ensure its solutions are practical and effective.
- Automated AI remediation for quick accessibility fixes
- Combines AI automation with expert manual testing
- Litigation support with a financial pledge
- Strong focus on community involvement and user testing
- Comprehensive compliance with major accessibility regulations
- Potential for over-reliance on automation, missing nuanced issues
- Cost may be prohibitive for very small businesses
- Dependence on the platform’s update cycle
- The automated fixes, may change the look and feel of a website, that the website owner may not want
BrowserStack
Are you looking for AI tools for QA geared toward cross-browser and cross-device compatibility? Then BrowserStack is a perfect contender. It provides AI-enhanced automation tools, including a low-code automation solution, visual testing via Percy, and test management capabilities. The platform aims to simplify test creation and maintenance, enabling efficient and scalable testing in the cloud.
BrowserStack focuses on UI testing, visual regression testing, and functional testing, with a strong emphasis on cross-browser and cross-device compatibility. Core AI features include self-healing tests that adapt to UI changes, natural language to test step conversion, and intelligent wait timeouts to reduce test flakiness. These features aim to make automated testing more accessible and reliable, reducing the learning curve and maintenance overhead.
- Low-code automation for easy test creation
- AI-driven self-healing tests reduce maintenance
- Extensive real device and browser coverage
- Seamless integration with CI/CD and development tools
- Visual testing with Percy for UI consistency
- Potential cost for extensive device and browser testing
- Possible limitations of low-code for highly complex tests
“Whenever our clients need really thorough compatibility testing, BrowserStack is always in the mix for us. Honestly, we’ve probably used it on almost every other project, just because of their massive library of real devices. For example, when we were testing ChitChat, a social commerce app, we really leaned on BrowserStack’s huge device collection. It let us test on actual hardware, across all kinds of different configurations,”
AI Test Case Generator
If you’re looking for test case generation tools, consider the aptly named AI Test Case Generator. It automates test case creation directly in Jira or Azure, using AI and LLMs to quickly convert user stories into detailed, executable tests, no matter how they’re written.
This tool creates comprehensive test cases with unique IDs, titles, descriptions, steps, and expected results. Its AI can handle various user story styles, link tests back to their origins, and organize them into suites. At QAwerk, we use it to come up with new test scenarios and edge cases for the DrAnsay project, which helps us improve coverage and save a ton of time.
- Automates test case generation, saving significant time
- Integrates directly with Jira and Azure workflows
- Generates detailed, structured test cases
- Improves traceability by linking test cases to user stories
- Supports organized test execution through test suites
- Relies on the quality of user stories for accurate test cases
- Potential for AI to miss nuanced testing scenarios
Postbot
Postbot is an AI testing tool integrated into the Postman API platform, designed to streamline API development workflows. It caters to API developers, testers, and anyone working with APIs, aiming to automate tedious tasks and enhance productivity through natural language input and AI-driven assistance.
The tool primarily focuses on automating API-related tasks, including documentation generation, test creation, data visualization, and debugging. Postbot aims to reduce manual effort, improve efficiency, and provide instant support, with enterprise-level features offering enhanced privacy and availability.
- Automates API documentation and test generation
- Simplifies data visualization of API responses
- Provides AI-powered debugging and support
- Uses natural language input for ease of use
- Enterprise-level privacy and availability options
- Limited free usage, requiring paid add-on for extensive use
- Reliance on OpenAI’s AI models, with potential limitations
TestCraft
Exploring open-source AI testing tools to streamline your software testing? TestCraft is definitely worth a look. It’s a free and open-source browser extension designed for QA engineers and developers who want to automate test creation, generate test ideas, and improve accessibility testing directly within their browser.
The tool primarily focuses on test case generation, automated test creation for UI testing, and accessibility testing. Core AI features include the generation of test ideas based on webpage elements, automated test script creation for popular frameworks like Playwright, Selenium, and Cypress, and accessibility issue detection. TestCraft also allows users to seamlessly convert generated test ideas into automated test scripts.
- Free and open-source, making it accessible
- AI-powered test idea generation
- Automated test script creation for popular frameworks
- Built-in accessibility checks
- Seamless conversion of test ideas to automated tests
- Potential for generated tests to require manual adjustments
- Browser extension format may have limitations compared to standalone tools
- Reliability may be affected by browser updates
- Open source projects may have less consistent support than commercial products
Functionize
Functionize has earned a place among AI test automation tools. It utilizes “Digital Workers” to automate QA tests and workflows. It’s designed for enterprise-level organizations seeking to improve productivity, efficiency, and cost savings in their software testing processes. Functionize offers specialized AI agents that aim to reduce manual effort and maintenance, allowing teams to achieve greater test coverage and product quality.
The platform primarily focuses on functional testing automation, with core AI features including test case generation, automated diagnosis, self-healing test maintenance, and automated documentation.
- AI-powered “Digital Workers” for automated testing
- Self-healing tests reduce maintenance efforts
- Automated documentation and diagnosis features
- Scalable automation for enterprise applications
- Increased test coverage and product quality
- Potential cost for enterprise-level deployment
- Reliance on AI accuracy for complex test scenarios
- Integration complexity with existing workflows
- Dependence on Functionize’s platform stability and updates
Testers.ai
Testers.ai is an automated tool for QA that utilizes “AI Testing Agents” to automate functional testing and bug detection for web applications. It’s designed for QA teams and developers seeking to quickly achieve comprehensive test coverage, without extensive coding or scripting.
The platform primarily focuses on automating functional testing, exploratory testing, and generating detailed reports. Core AI features include customizable AI agents, automated issue detection across multiple categories, and the ability to run tests with or without private AI/LLM keys.
- Instant functional test coverage without coding
- Combines functional and exploratory testing to ensure a thorough app assessment
- Customizable AI testing agents
- Comprehensive reporting with screenshots and videos
- Ability to import existing test definitions
- Potential reliance on AI accuracy for complex test scenarios
- May require technical expertise for advanced customization
- Dependence on the stability of the application and its updates
- Potential cost for advanced features and private AI/LLM key integration
Momentic.ai
If you’re searching for AI software testing tools that will simplify and accelerate test automation, especially for regression testing, production monitoring, and UI automation, then Momentic.ai is worth considering. It targets both technical and non-technical teams, aiming to reduce the overhead of maintaining flaky scripts as well as empower engineers to build robust test suites.
The platform’s main focuses are on UI and functional testing, utilizing AI to enhance test creation, maintenance, and execution. Core AI features include auto-healing locators based on element descriptions, natural language-based assertions, and an intuitive low-code editor.
- AI-powered auto-healing locators
- Natural language assertions for easy test creation
- Intuitive low-code editor for rapid test development
- Flexible test execution across various environments
- Reduces test flakiness and maintenance overhead
- Limited browser support (currently Chromium/Chrome)
- Mobile and desktop support is not yet available
- Relies heavily on AI, potential for AI to misinterpret complex UI changes
- No code generation or saving, which may limit some users
TestGrid
TestGrid is a comprehensive AI-based test automation tool designed for software developers and QA engineers, as well as organizations seeking to streamline and scale their testing processes. It provides a unified environment for end-to-end testing, encompassing mobile, web, API, performance, and IoT applications. TestGrid also has options for cloud, on-premise, and hybrid deployments.
TestGrid leverages AI-powered codeless testing and its CoTester AI agent. Core AI features include automated test case generation, visual change detection, and intelligent test execution optimization, all aimed at improving testing efficiency and accuracy.
- Unified platform for diverse testing needs (mobile, web, API, performance, IoT)
- AI-powered codeless automation simplifies test creation and maintenance
- Extensive device and browser coverage with real devices
- Scalable infrastructure for efficient test execution
- CoTester AI agent enhances test automation and analysis
- Potential learning curve for advanced AI features
- Reliance on cloud infrastructure may introduce latency
- Cost can be a factor for smaller teams
- Very wide range of features could overcomplicate simple tasks
Summing Up
AI testing tools have become a core component of efficient QA processes. From AI automation tools that streamline regression testing to test case generation tools that enhance coverage, AI is reshaping how we approach quality assurance. A LambdaTest survey indicates that roughly 35% of larger organizations have adopted AI for visual regression testing, while nearly 46% rely on AI for test case creation.
Whether you’re starting with free AI testing tools for smaller projects or investing in robust AI software testing tools for enterprise-level applications, the potential for increased efficiency and higher product quality is undeniable.
As a QA company with expertise in implementing the best AI tools for software testing, as well as testing AI-powered applications and AI agents, we understand the nuances of this technology. Since 2015, our QAwerk team has helped over 300 products significantly reduce critical production bugs. If you’re looking to optimize your QA process and would like a free project estimate, please get in touch with us. We’d like to help you streamline your QA process and achieve measurable results, like five-star reviews, a growing user base, and a larger market share.
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