Prompt-based generation looks right. It just doesn't stay right.
Every team using LLMs for test case generation hits the same wall. The output is fast and looks thorough. Then a sprint passes. Then two. And the test cases start describing a product that no longer exists.
The LLM Only Sees What You Paste
A fragment of a user story. The model fills the rest with guesswork. What comes out is plausible but incomplete and you're the one filling the gaps from memory.
Read detailsTest Cases Have No Relationship to Your Product
They live in a doc. When your specs change, nobody updates the doc. Six weeks later you're referencing test cases that describe a product that no longer exists.
Read detailsCoverage Looks Complete But Isn't
You have 200 test cases in Confluence. How many cover the integrations that actually matter? How many describe deprecated flows? You don't know.
Read detailsHow Test Case Generation from Requirements Works
Connect Your Stack
Link Jira or Linear for requirements, Figma for UI flows, OpenAPI or Postman for API contracts, and GitHub for code and CI status. Setup takes minutes.
Build the Context Graph
Text2Test maps relationships across all connected artifacts. It knows which user story maps to which endpoint, which Figma screen corresponds to which route, which existing tests cover which flow.
Generate with Full Context
Test cases are generated with knowledge of your entire product, not a single pasted paragraph. Happy paths, edge cases, boundary conditions, and integration scenarios all included.
Stay Current Automatically
When a spec changes, affected test cases are flagged for regeneration. One action, not a spreadsheet audit. Your test suite ages with your product instead of against it.
Your QA workflow has a price tag. See yours in 30 seconds.
Move the sliders to match your team. The number updates as you go, and every assumption behind it is on the page.
How we calculated this
| Per sprint | Today | Text2Test | Assumption |
|---|---|---|---|
| Writing test cases | 6 hrs | 0.8 hrs | 36 min per feature today. 5 min to review generated cases with Text2Test. |
| Filing and formatting | 2 hrs | 0 hrs | 12 min per feature to move cases into docs, sheets or tickets. In Text2Test they are already linked to the requirement. |
| Updating after spec changes | 3 hrs | 0.2 hrs | 30% of features touch existing cases each sprint, 60 min each today. 3 min to regenerate a flagged case. |
| Review and sync | 1.5 hrs | 0.3 hrs | 30 min per person per sprint today, 6 min with a shared suite. |
Yearly figures use 26 two-week sprints and your hourly cost. The range is the estimate plus or minus 15%. Your actual numbers will vary.
Connects to Where Your Product Truth Already Lives
No migration. No new tools. Text2Test plugs into what your team already uses.