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Katalon

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  • Tool Introduction:
    Katalon AI: Create tests faster across web, mobile, API, desktop.
  • Inclusion Date:
    Oct 21, 2025
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Tool Information

What is Katalon AI

Katalon AI is an AI-augmented layer of the Katalon test automation platform that streamlines how teams design, execute, and maintain automated tests for web, mobile, API, and desktop applications. It accelerates authoring with natural-language assistance, recommends resilient object locators, and reduces flaky failures through self-healing and smart synchronization. Combined with unified reporting and CI/CD-friendly orchestration, Katalon AI supports continuous testing at any maturity level, helping teams deliver faster feedback, broader coverage, and higher software quality with less manual effort.

Katalon AI Main Features

  • AI-assisted test authoring: Generate and refine test steps from plain-language descriptions or acceptance criteria to jump-start coverage.
  • Self-healing locators: Automatically adapts selectors when the UI changes, minimizing brittle tests and maintenance overhead.
  • Smart waits and stability: Built-in timing intelligence to reduce timeouts and flaky test failures across environments.
  • Cross-platform automation: Unified support for web, mobile, API, and desktop testing with data-driven and keyword-driven options.
  • Low-code and extensible: Codeless recording and editing with the flexibility to add custom logic and libraries when needed.
  • Parallel and scalable execution: Run suites locally or in the cloud, schedule jobs, and orchestrate pipelines to speed up feedback loops.
  • Analytics and reporting: Centralized dashboards, trends, and failure insights to prioritize fixes and optimize test suites.
  • DevOps friendly: Works with modern CI/CD toolchains to enable continuous testing in every build.

Who Should Use Katalon AI

Katalon AI suits QA engineers, SDETs, developers, and product teams who need reliable, scalable test automation. It fits startups building their first regression suite, enterprises standardizing QA across teams, and organizations modernizing continuous testing for web, mobile, API, or desktop apps—especially where faster authoring, lower maintenance, and higher stability are priorities.

How to Use Katalon AI

  1. Create a project in the Katalon platform and select your application type (web, mobile, API, or desktop).
  2. Connect your repository or import requirements/user stories to guide AI-assisted test generation.
  3. Author tests using the recorder or natural-language prompts, then refine steps, locators, and assertions.
  4. Parameterize inputs for data-driven testing and organize suites for different environments.
  5. Run tests locally or in the cloud, and schedule or trigger runs from your CI/CD pipeline.
  6. Review reports and trends, apply AI suggestions to heal failing steps, and update objects as the app evolves.

Katalon AI Industry Use Cases

Ecommerce teams use Katalon AI to generate checkout and search regressions quickly and keep selectors stable during frequent UI updates. Financial services automate API journeys and multi-factor login flows with self-healing to reduce flaky failures. SaaS and B2B platforms integrate AI-assisted tests into CI/CD to validate releases across browsers and devices, while healthcare product teams leverage analytics to prioritize high-risk scenarios and maintain compliance.

Katalon AI Pricing

Katalon AI is available as part of the Katalon platform with tiered, subscription-based plans that scale by features, users, and execution capacity. A free trial is typically offered so teams can evaluate AI-assisted authoring, execution, and reporting before adopting a paid plan.

Katalon AI Pros and Cons

Pros:

  • Speeds up test creation with AI and low-code workflows.
  • Reduces maintenance via self-healing locators and smart waits.
  • Covers web, mobile, API, and desktop in one platform.
  • Scales execution with orchestration, parallel runs, and cloud options.
  • Actionable analytics help improve stability and coverage over time.

Cons:

  • AI-generated steps still require human review for accuracy and completeness.
  • Advanced capabilities may be limited to higher-tier subscriptions.
  • Complex enterprise workflows can introduce a learning curve for new users.
  • Highly dynamic UIs may still create flakiness that needs tuning and governance.

Katalon AI FAQs

  • Does Katalon AI replace manual testers?

    No. It augments teams by accelerating authoring and maintenance; experts still design test strategy, validate coverage, and review critical scenarios.

  • Can I use Katalon AI without coding?

    Yes. It supports codeless and low-code authoring, with the option to extend tests using custom logic when needed.

  • How does self-healing work?

    The AI analyzes multiple attributes to identify target elements and updates or selects alternative locators when the UI changes.

  • Is it suitable for API testing?

    Yes. You can design, chain, and validate API requests alongside web or mobile flows within the same project.

  • Can it integrate with my CI/CD pipeline?

    Yes. You can trigger test suites from build pipelines, run in parallel or on cloud infrastructure, and publish results to centralized reports.

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