Free AI Test Case Builder
Story-driven test case creation, powered by AI. TestStory.ai is a free AI test case generator that turns your user stories, issues and diagrams into comprehensive test cases, trained with decades of QA expertise from TestQuality.
Free · No credit card required
Story-powered AI test case generation
TestStory.ai helps developers and QA build effective test cases from user stories, issues, epics, process diagrams and even free-form text. Unlike AI tools that produce generic test cases, TestStory is trained on years of QA best practice and creates test cases that can outperform manual test writing.
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Everything you need to generate test cases with AI
Your expert QA agent
The TestStory.ai QA agent is trained with decades of QA expertise, powered by the free TestQualityAI model (on Google Gemini). The built-in model doesn’t train on your stories or test cases, so your data isn’t shared with AI providers. Have AI compliance policies? Bring your own AI provider and key.
Integrate or export to any format
Test cases are stored in TestQuality’s flexible OpenTest format and can be exported to Markdown, PDF or CSV, emailed to colleagues, or synchronized with TestQuality, TestRail or Zephyr.
Sync with TestQuality, TestRail and Zephyr
Built-in integrations keep test cases in sync with popular test management platforms. Generate tests in TestStory, then execute, measure and manage them in your test management tool.
Works with GitHub, Jira and Linear
Generate comprehensive test cases from issues, stories and epics straight from your issue trackers and project planning tools.
New and updated story alerts
Issue update notifications tell you instantly which new and changed stories need tests, and loading a story for test generation takes a single click.
API and MCP for your workflows
Use the TestStory API to generate test cases from GitHub Actions and CI/CD pipelines, and the MCP server to connect AI tools like Claude, VS Code/Copilot and Cursor. A2A support is coming soon.
Natural language test creation with Claude and MCP
TestStory plugs into Claude, Claude Code, Cursor and VS Code/Copilot, so all of its QA power and control is available in your chats, including syncing to test management tools like TestQuality.
Test technical and business process diagrams
Generate comprehensive test cases from process diagrams. TestStory reads Visio and Lucidchart files and diagrams in PDF, PNG and JPEG, and maps out process steps and acceptance criteria across many formats:
- Flowcharts
- Swimlanes
- UML use case
- UML class
- UML sequence
- UML activity
- State machines
- ERD
- Data flow
- System architecture
- BPMN
- Value stream
- Gantt
- Org charts
- Mind maps
- Kanban
- Journey maps
- SIPOC
Control your strategy with Test Dials
Most AI test generation offers no real control and produces test cases that aren’t usable in real-world testing. Test Dials let you set the scope, audience and test types, so generated tests follow your strategy and intent.
Reusable preset packs
Pre-built preset packs target specific testing types, like smoke tests or accessibility. Modify them, save your own custom packs, and use presets from the UI, the API or MCP.
Smart, fast and AI-driven
Why TestStory.ai redefines test case writing
High-quality software delivery is crucial in today’s fast-paced development. TestStory.ai is your AI partner for testing efficiency and comprehensive coverage.
Beyond traditional test case generation
Eliminate tedious manual test case creation. TestStory.ai uses AI trained on decades of QA expertise to instantly generate precise, actionable test cases from user stories, requirements and complex process diagrams, freeing QA engineers for exploratory testing and strategic planning.
Intelligent, comprehensive and tailored
Generic test cases fall short. Test Dials and reusable preset packs let you fine-tune scope, audience and test types, for everything from smoke tests to in-depth functional scenarios.
Seamless integration, secure data
TestStory.ai integrates with GitHub, Jira and Linear. Its API supports DevOps and CI/CD workflows, and its MCP (Model Context Protocol) server works with AI tools like Claude and VS Code/Copilot. Your data stays private: the built-in model doesn’t train on it, and you can use your own AI provider keys.
Accelerate, innovate, deliver with confidence
Reduce testing time, broaden coverage and improve product quality, for faster release cycles, fewer bugs and a strong return on investment.
FAQ
Want the full test management platform too? See all features.
How does AI-powered test case writing benefit high-volume test creation compared to manual methods?
AI rapidly generates high volumes of structured, consistent test cases from inputs like user stories and process diagrams. Compared with slow, labor-intensive manual writing, it cuts time and effort while keeping quality uniform across hundreds or thousands of test cases, for faster time to market and more reliable coverage.
What is TestStory.ai and how does it change test case generation?
TestStory.ai is an AI-powered, story-driven test case generator that creates comprehensive, relevant test cases from user stories, requirements and process diagrams. It reduces manual effort, speeds up testing cycles and improves coverage, and it’s trained with decades of QA expertise from TestQuality.
How does TestStory.ai ensure the quality and accuracy of generated test cases?
TestStory.ai is trained on years of QA best practices and test case knowledge, and uses natural language processing and machine learning to understand the context and intent of your documentation. It covers critical paths and the edge cases that are often missed in manual test writing.
Does TestStory.ai address data privacy concerns related to AI training?
Yes. TestQuality’s built-in AI model doesn’t train on your stories or test cases, so they aren’t shared with AI providers or used in training, unlike many free AI models. If you have AI compliance policies, you can use your own AI provider and key.
Can TestStory.ai integrate with our existing development and testing workflows?
Yes. It integrates with GitHub, Jira and Linear; its API works with DevOps workflows like GitHub Actions and CI/CD pipelines; and its MCP (Model Context Protocol) server connects AI tools like Claude, VS Code/Copilot and Cursor. Test cases export to Markdown, PDF and CSV, or sync with TestQuality, TestRail and Zephyr.
What types of inputs can TestStory.ai use to generate test cases?
User stories, issues, epics and free-form text, plus process diagrams from Visio, Lucidchart, PDF, PNG and JPEG, including flowcharts, swimlanes, UML diagrams, ERDs, data flow, system architecture, BPMN, value streams, Gantt charts, org charts, mind maps, Kanban boards, journey maps and SIPOC.