AI Test Case Generator — requirements to test suite in seconds.
Paste any requirement, user story, or acceptance criteria. Get a structured test suite covering functional, security, boundary, accessibility, and state-transition scenarios — instantly.
Everything a test lead needs.
AI-Powered Generation
Powered by Claude AI trained on QA engineering patterns. Understands BDD, acceptance criteria, user stories, and plain-language requirements — producing test cases an SDET would write.
Security Test Coverage
Automatically generates XSS, SQL injection, CSRF, JWT tampering, privilege escalation, and brute-force test cases for any feature involving auth, input, or data persistence.
Three Depth Modes
Quick (5 cases) for rapid grooming, Balanced (15 cases) for standard sprints, and Exhaustive (25+ cases) for high-risk flows like payments, authentication, and RBAC.
Coverage Matrix
Visual coverage breakdown across Functional, Security, Boundary, Accessibility, and Performance. See gaps before the sprint starts, not after production breaks.
Inline Editing & Status Tracking
Edit any cell inline. Mark test cases as Pass, Fail, Skip, or Blocked. Add rows manually. Full session editing without losing generated output.
Export to CSV & Markdown
Export the entire test suite to CSV (Jira, TestRail, Zephyr-compatible) or Markdown (Notion, Confluence, GitHub). One click, zero reformatting.
Where QA teams deploy this tool.
Sprint Planning & Grooming
Drop a user story into the generator during sprint planning. In 10 seconds, every story has a test suite. Balanced mode gives 15 cases — enough to size the testing effort without over-engineering.
High-Risk Feature Sign-Off
Before releasing payment flows, auth systems, or RBAC dashboards, run Exhaustive mode. Get 25+ cases covering combinatorial inputs, JWT edge cases, privilege escalation, and i18n — the scenarios that break in production.
Onboarding New QA Engineers
Junior engineers struggle to think adversarially. This tool generates the security and boundary cases they'd miss — then they can study the output to learn what good test design looks like.
Frequently asked questions.
Is the AI Test Case Generator really free?
Yes — completely free with no sign-up required. Open the tool and start generating immediately. QABash will never paywall core engineering tools.
What types of test cases does it generate?
The generator produces Functional, Security (XSS, SQLi, CSRF, JWT tampering, privilege escalation), Boundary Value, Negative, Performance, Accessibility (WCAG 2.1), State Transition, Combinatorial, and Localisation/i18n test cases depending on the selected depth mode.
How is this different from ChatGPT or Copilot?
This tool uses a QA-specific prompt engineered by SDETs, not a generic assistant. It outputs structured test cases with ID, priority, type, steps, expected result, and tags — ready to paste into Jira or TestRail. ChatGPT produces prose; this produces a structured, exportable test matrix.
What depth mode should I use?
Quick (5 cases) for internal grooming or low-risk features. Balanced (15 cases) for standard sprint stories — covers functional, boundary, and security basics. Exhaustive (25+ cases) for payments, authentication, file uploads, RBAC, and any feature where production failures are expensive.
Can I export the test cases to Jira or TestRail?
Yes. Export as CSV — compatible with Jira, TestRail, Zephyr, qTest, and any spreadsheet. Export as Markdown for Notion, Confluence, or GitHub wikis. Both exports include ID, priority, type, scenario, steps, expected result, tags, and status.
Does it work for API testing or only UI flows?
It works for any requirement type: UI workflows, API endpoints, background services, database operations, and infrastructure checks. The security cases adapt to context — REST API requirements get injection, BOLA, and rate-limit cases; UI requirements get XSS, CSRF, and DOM-based cases.
What does 'Progressive Expansion' mean?
After generating an initial suite, you can run Expand to add additional cases targeting gaps the AI identifies — state transitions, i18n/RTL, resilience patterns, and JWT edge cases. The expanded cases append to your existing table without losing edits.
Can I edit test cases after generation?
Yes — all cells are inline-editable. Click any scenario, step, or expected result to edit. You can also add manual rows, change priority, update status (Pass/Fail/Skip/Blocked), and filter by type before exporting.
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