AI test case generator, from a requirement
Paste a requirement, user story or acceptance criteria, and it returns the set of test cases a senior QA would write first — focused, prioritised, not an exhaustive dump — each with steps, expected result, priority and tags, exportable as CSV or as Jira-ready Markdown.
Paste the requirement, choose how many cases. Positive, negative, edge and security cases — with steps and expected result, exported as CSV or Jira Markdown.
Open the tool — free, no signupWhat this tool does
Paste a requirement, user story or acceptance criteria and it returns a structured set of test cases — each with a title, a type (positive, negative, edge case or security), a priority, numbered steps, an expected result, and tags. You say roughly how many you want, and it returns a focused, prioritised set rather than an exhaustive dump. Export the lot as a CSV for a test management tool, or as Markdown that pastes straight into Jira or a GitHub issue.
Unlike the other tools on this page, which run entirely in your browser, this one calls an AI model — so the requirement you paste is sent to that model to generate the cases. Nothing is saved: not your input, not the output.
What "senior" means here
The model is prompted to write the cases a senior QA would write first — the high-value, non-redundant ones — not fifty variations of the same happy path. For "a user can reset their password via a one-time link that expires in 15 minutes", a good set looks like this:
| Type | What it checks |
|---|---|
| Positive | Valid email → link sent, works once within 15 minutes |
| Negative | Link used at minute 16 → rejected with a clear message |
| Edge | Link reused after a successful reset → rejected |
| Security | Email enumeration: an unknown address returns the same response as a known one |
| Security | User A's link, opened while logged in as B → no cross-account reset |
Those edge and security rows are the ones most suites written under time pressure forget. Getting them into the draft is most of the value.
How to get the best results
Paste the real requirement, not a one-liner. Include the acceptance criteria, the constraints (the 15 minutes, the max cart size), the roles involved, and the error conditions you already know about. The model can only test what you describe — vague in, vague out. And ask for a sensible number: twenty focused cases beat eighty padded ones, which is why the tool bounds the count instead of generating endlessly.
Where it helps, and where it doesn't
It helps with the blank-page problem, with the coverage you'd forget under time pressure — those security and edge rows — and with turning a ticket into a reviewable draft in seconds.
It does not replace reading the requirement yourself. Treat the output as a strong first draft that a senior reviews, prunes, and extends with the cases specific to your domain. An AI doesn't know your system's real failure modes; you do. That is exactly the skill an interview tests — and the reason a generator speeds QA up without replacing it.
Common mistakes
Shipping the output unread. A generated draft is a starting point, not a test suite. Reviewing it is the job.
Asking for too many. A huge count dilutes quality and burns the shared budget. Ask for the high-value core, then add your own domain cases.
Pasting a title instead of a requirement. "Test the login" produces generalities. Paste the acceptance criteria and the rules, and the cases get specific.
Expecting it to know your system. Feature flags, business rules and known debt are invisible to it unless you state them. That is where your judgement comes in.
What it sends and keeps
The requirement text is sent to the AI provider that generates the cases — that is the only way an AI tool can work. It isn't stored on QALadder: no account is needed and nothing is written to a database. Don't paste secrets, customer data or anything under NDA, the same rule you'd apply to any AI tool.
Frequently asked questions
Is this AI test case generator free?
Yes, and there is no signup. You get a few generations a day as a guest, and more once you are logged in (also free). The tool shares one free AI budget across all visitors, so it asks for a focused set rather than an unlimited dump — fewer cases, but better chosen.
How do you generate test cases from a requirement?
Paste the requirement, user story or acceptance criteria, choose how many cases you want, and the tool returns positive, negative, edge and security cases, each with numbered steps and an expected result. The more specific the requirement — roles, limits, error conditions — the better the cases.
Can it export to Jira?
Yes. Export as CSV for a test management tool, or as Markdown that pastes straight into a Jira description or a GitHub issue, steps numbered. Copy and download buttons are provided.
Will AI replace QA engineers?
No, and this tool is built on that premise. It writes a strong first draft fast; it does not know your system's real failure modes or business risk. The judgement — which cases matter, what the requirement left out — is still the engineer's. Treat the output as a draft a senior reviews, prunes and extends.
Is my pasted requirement stored?
No. There is no account and nothing is written to a database. Unlike the other tools on this page, this one calls an AI model, so the text you paste is sent to that model to generate the cases and is then gone. Don't paste secrets, customer data or anything under NDA — the same rule you'd apply to any AI tool.