AI-powered testing tool that saves time creating and maintaining automated tests for software applications.
TestComplete is a Testing automation platform that uses AI-powered object recognition and visual testing to create, execute, and maintain UI tests across desktop, web, and mobile applications, with pricing starting at approximately $2,671 per node-locked license annually. It is designed for QA engineers, SDETs, and enterprise test automation teams at mid-to-large organizations that need scalable, maintainable automation without requiring every tester to write code.
Developed by SmartBear Software (founded in 2009, though TestComplete itself has roots dating back to AutomatedQA in 2004), TestComplete combines a scriptless record-and-playback interface with full scripting support in JavaScript, Python, VBScript, JScript, C++Script, and DelphiScript. Its AI-driven hybrid object recognition engine identifies UI elements through a combination of property-based and visual (image-based) techniques, which significantly reduces the test flakiness that typically breaks automation suites when developers restructure the DOM or rename elements. The platform tests over 500 controls and frameworks natively, including React, Angular, Vue, WPF, Qt, Delphi, JavaFX, and SAP, and integrates with Jenkins, Azure DevOps, Git, Jira, and SmartBear's own Zephyr and BitBar for CI/CD and device cloud execution.
Based on our analysis of 870+ AI tools, TestComplete sits in the enterprise-tier of the Testing category alongside Tricentis Tosca, Micro Focus UFT, and Ranorex. Compared to open-source alternatives like Selenium, Cypress, or Playwright, TestComplete trades free licensing for a commercial GUI, dedicated support, and cross-technology coverage (desktop + web + mobile in one tool) that open-source frameworks rarely match. Compared to newer AI-native tools like Testim, Mabl, or Functionize, TestComplete offers deeper legacy desktop and enterprise app support but has a heavier installation footprint and a steeper learning curve. Typical buyers are regulated industries, ISVs with complex desktop products, and teams migrating from manual QA who need a visual IDE rather than a code-first framework.
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Combines property-based locators with AI-driven visual recognition so tests can still find UI elements when developers change IDs, class names, or DOM structure. This dual approach is particularly effective for dynamic web apps and legacy desktop controls where traditional selectors frequently break, reducing ongoing test maintenance effort.
Lets manual QA testers record user interactions and replay them as automated tests without writing code, while the Name Mapping repository keeps object references centralized so changes propagate across the suite. Teams can graduate recorded scripts into JavaScript, Python, or VBScript as their automation matures.
Supports over 500 controls and frameworks, including WPF, WinForms, Delphi, Qt, Java Swing/JavaFX, Electron, React, Angular, Vue, SAP, Oracle EBS, and both iOS and Android mobile apps. This breadth is unusual â most competitors focus only on web, making TestComplete a one-license solution for enterprises with mixed technology stacks.
Runs headlessly from the command line and integrates with Jenkins, Azure DevOps, GitLab CI, TeamCity, Bamboo, and GitHub Actions, plus source control systems like Git, SVN, and TFS. Paired with SmartBear's BitBar device cloud, it enables parallel execution across real browsers and devices as part of standard release pipelines.
Supports Gherkin-based behavior-driven development so product owners and business analysts can write human-readable Given/When/Then scenarios that map to automated steps. Combined with keyword-driven testing, this lets non-technical stakeholders participate in test design while keeping execution under a single engine.
Free for 14 days
From ~$2,671/year node-locked
Custom quote (higher-tier bundle)
Custom pricing on request
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SmartBear has been rolling TestComplete into its broader SmartBear AI and Application Integrity initiatives, including the launch of the SmartBear MCP Server and SmartBear AI Labs for early-access AI testing innovations. Recent emphasis is on generative AI-assisted test creation and tighter integration across the SmartBear quality platform (TestComplete, ReadyAPI, Zephyr, BitBar) as part of the company's 'new standard for quality in the AI era' positioning.
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