AI test case generator

AI test case generator for product specs and acceptance criteria.

Turn feature descriptions into reviewable QA test cases with preconditions, steps, expected results, priorities, and coverage signals. Edit, approve, reject, regenerate, and export the plan when it is ready.

Example workflow
Input

A user can reset their password by email. Expired links should show an error, successful resets should invalidate old sessions, and rate limits should prevent abuse.

Output
  • Functional reset flow with email delivery and confirmation
  • Negative cases for expired, reused, and invalid reset links
  • Security-oriented coverage for session invalidation and rate limits
Why teams use it

A faster path from requirement to reviewed QA coverage.

Generate a broad first draft without starting from a blank page.

Keep every case structured with priority, preconditions, steps, and expected result.

Use the coverage matrix to spot requirements that still need review.

Workflow

Built for review, not blind trust.

1

Paste the spec

Add a feature description, PRD excerpt, acceptance criteria, or bug-fix scope.

2

Choose coverage

Select functional, negative, edge, UI, or performance cases and choose the case count.

3

Review cases

Edit weak cases, approve useful ones, reject noise, and regenerate specific gaps.

4

Export

Download the reviewed plan as Markdown, CSV, or Gherkin.

FAQ

Questions before you try it

Can AI-generated test cases be trusted as-is?+

No. Treat them as a structured draft. A QA specialist or product owner should review intent, risk, duplicates, and missing domain context before using them.

What kinds of test cases can it generate?+

Spec2Tests can draft functional, negative, edge, UI, and performance test cases with priorities and expected results.

Can I edit the generated cases?+

Yes. You can edit fields, approve or reject cases, regenerate specific cases, and keep the reviewed version in history when signed in.