Casely
Casely: A specification-driven generator with broad inputs, coverage planning, and API exports. Ranked #5 of 21 in AI Test Case Generators by our editors (8.9/10); pricing: Free plan; best for open-source specification-driven test design.
At a glance
- Editor score8.9 / 10
- PricingFree plan
- Best forOpen-source specification-driven test design
- Free planYes
- Paid fromFree
- Facts checked22 Sep 2026

Where it wins
- Generates cases from six document formats and pasted text
- Matches team columns, ordering, tone, and ID conventions
- Exports Excel, Markdown, and runnable Postman collections
Where it doesn't
- Designed as a QA skill for Claude
- Browser team workflow is identified as early access
- Focused on specification-driven design rather than broad QA automation
Our verdict on Casely
Casely is an open-source QA skill for Claude that turns requirements and supporting materials into structured test cases. QA engineers and team leads can provide PDF, DOCX, XLSX, TXT, Markdown, or pasted text, then review a proposed test plan before cases are generated. The workflow is designed for teams that want consistent, specification-led coverage rather than starting with individual test ideas.
Its strongest capability is the combination of coverage planning and specification review. Casely flags untestable wording, contradictions, and specification gaps before generating cases, then applies equivalence partitioning, boundary analysis, decision tables, state transitions, and error guessing. It can also match an existing team's test-case columns, order, tone, and ID scheme, which makes the output more suitable for established QA conventions. Cases can be exported as a consolidated Excel file or as one Markdown file per case.
API coverage extends the tool beyond document-based test design. When requirements describe API endpoints, Casely can generate runnable Postman collections, environment variables, and assertions, with Newman included among its integrations. It also connects with TestRail, Qase, Zephyr, and Xray. Casely should suit QA teams that want an open-source, Claude-based workflow with explicit coverage review and structured exports. Teams seeking a mature browser-based collaboration experience should account for the fact that the browser team workflow is identified as early access, while teams wanting broader QA automation beyond specification-driven case generation may prefer a more expansive platform.
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Casely pricing
Casely fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Requirements input | Yes |
| Existing app input | Not verified |
| Acceptance criteria | Not verified |
| Browser test generation | Not verified |
| API test generation | Yes |
| Mobile test generation | Not verified |
| Deployment | Cloud, Desktop |
| Platforms | Web, Windows, macOS, Linux |
| Support | Docs |
| Built for | Small business, Mid-market (editorial estimate) |
| Integrations | 6 integrations: TestRail, Qase, Zephyr, Xray, Postman, Newman |
| Pricing | Free plan |
| Website | casely.digital |
| Facts checked | 22 Sep 2026 |
Casely integrations
Casely lists 6 integrations on its own site.
- TestRail
- Qase
- Zephyr
- Xray
- Postman
- Newman
Alternatives to Casely
- QAEverestBroad AI test generation with traceability, automation, and extensive tool integrations.9.4
- WalnutAITurns requirements, designs, code, and workflows into traceable test coverage.9.3
- TrulitStructured AI test generation with web automation, API access and Jira synchronization.9.2
Casely vs the competition
- Casely vs QAEverest
- Casely vs WalnutAI
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Compare Casely with any tool side by side →
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Casely is listed in our AI Test Case Generators directory. Add the badge to your site — it links back to this page.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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