Test Case Generator

What is a Test Case Generator?

A test case generator is an AI-powered tool that transforms your feature requirements, user stories, and acceptance criteria into comprehensive, actionable test cases. Instead of spending hours manually writing test documentation, you describe what needs to be tested, and AI generates structured test cases with clear steps, expected results, and proper categorization. Works best when paired with clear requirements from the PRD Generator or user stories from the Backlog Builder.

This free AI test case tool is built for QA engineers, developers, and product teams who understand the value of thorough testing but struggle with the time it takes to document test scenarios. Whether you’re preparing for a sprint, validating a new feature, or creating a regression test suite — well-structured test cases ensure nothing gets missed.

What Are Test Cases?

A test case is a set of conditions, steps, and expected results designed to verify that a specific feature or function of a software application works as intended. Test cases are the foundation of quality assurance, providing a systematic way to validate that software meets requirements.

A well-crafted test case answers critical questions:

• What are we testing? The specific feature, function, or scenario under examination.
• What are the preconditions? What state must the system be in before testing begins.
• What steps are involved? The exact sequence of actions to perform.
• What should happen? The expected behavior at each step and overall outcome.
• What data is needed? Specific test data required for execution.

Test cases bridge the gap between requirements and validation, ensuring that what was specified is actually what gets delivered.

Who is This Tool For?

QA Engineers and Testers

You’re the guardians of quality. This tool accelerates your test documentation workflow, ensuring comprehensive coverage across happy paths, edge cases, and error scenarios. Spend less time writing test cases and more time actually testing.

Software Developers

You write code and need to validate it works. Generate test scenarios for unit testing, integration testing, and feature validation. TDD practitioners can generate test cases before writing implementation code.

Product Managers

You define what success looks like. Use generated test cases to validate that acceptance criteria are clear, complete, and testable. Identify gaps in requirements before development starts. Generate PRDs with the PRD Generator for requirements that are optimized for testing.

Business Analysts

You translate business needs into requirements. Generate test cases to verify that requirements are unambiguous and that all scenarios are covered. Build clear user stories first with the Backlog Builder.

Scrum Masters and Agile Coaches

You facilitate quality processes. Use generated test cases in sprint planning, refinement sessions, and acceptance meetings to ensure everyone understands what “done” means.

Engineering Leads

You oversee technical quality. Create comprehensive test documentation for code reviews, release candidates, and handoffs to QA teams.

How to Use This Tool

Getting started is straightforward. You can use Simple Mode for quick generation or Advanced Mode for detailed control:

Simple Mode (Recommended for Quick Start)

1. Describe your feature — Write a clear description of what needs to be tested. Include the functionality, expected behaviors, and any specific scenarios you’re aware of.

2. Example input:

   I need test cases for a "Password Reset" feature in our web application. 
   The feature allows users to:
   1. Request a password reset via email
   2. Receive a reset link with a unique token that expires in 24 hours
   3. Set a new password that meets security requirements (min 8 chars, 1 uppercase, 1 number, 1 special char)
   4. Get confirmation email after successful reset
   
   The user must have a verified email address. Failed reset attempts should be logged for security.

3. Select options — Choose detail level, domain, and which test types to include (negative tests, edge cases, security, performance).

4. Generate — Click generate and get a complete test suite with categorized, prioritized test cases.

Advanced Mode (Full Control)

1. Feature Name — Give your feature a clear, descriptive name that identifies what’s being tested.

2. User Story — Write in the standard format: “As a [role], I want [action], so that [benefit].” This helps the AI understand the user context.

3. Acceptance Criteria — List the specific conditions that must be met for the feature to be considered complete. Be explicit about expected behaviors.

4. Business Rules — Specify any business logic, constraints, or validation rules. Include password requirements, character limits, date ranges, etc.

5. Preconditions — Define what must be true before testing can begin. What system state, user roles, or data must exist?

6. Test Data Requirements — Specify what data is needed for testing. Include valid/invalid examples, boundary values, and special cases.

7. Select Options — Choose detail level (basic, standard, comprehensive), domain context, and test types to include.

8. Generate and Refine — Click generate, review the output, and iterate as needed.

Understanding Test Categories

The generator creates test cases across multiple categories to ensure comprehensive coverage:

Happy Path Tests (Green)

These test the expected, successful user flows — the scenarios that should work when everything goes right.

Example: User logs in with valid credentials and sees the dashboard.

Happy path tests are typically the highest priority because they verify core functionality works as intended.

Unhappy Path Tests (Red)

These test what happens when things go wrong — invalid inputs, failed validations, and error conditions.

Example: User attempts login with incorrect password and sees appropriate error message.

Unhappy path tests ensure the system handles failures gracefully and provides useful feedback.

Edge Cases (Yellow)

These test boundary conditions, unusual inputs, and corner cases that might not be immediately obvious.

Example: User enters exactly 8 characters for password (minimum requirement boundary).

Edge cases often reveal bugs that standard testing misses.

Boundary Tests (Blue)

These specifically test the limits of input ranges, maximums, and minimums.

Example: User enters maximum allowed characters in a field, user reaches rate limit exactly.

Boundary tests catch off-by-one errors and limit violations.

Error Handling Tests (Orange)

These verify the system responds appropriately to system errors, network failures, and exceptional conditions.

Example: User submits form when network connection is lost, how does the system recover?

Error handling tests ensure the application is resilient and provides good user experience even when things fail.

Understanding Priority Levels

Test cases are automatically prioritized to help you focus testing efforts:

Critical (P0) — Red

Must-pass tests that validate core functionality. If these fail, the feature is broken. Launch blockers.

Examples:

• User can submit the form
• Data is saved correctly
• Authentication works

Testing strategy: Run these first, always include in smoke tests, automate immediately.

High (P1) — Orange

Important tests that validate significant business logic. Should pass for release but might accept minor workarounds.

Examples:

• Validation messages display correctly
• Error recovery works
• Integration with other systems functions

Testing strategy: Run early in testing cycle, include in regression suites, prioritize for automation.

Medium (P2) — Yellow

Standard feature tests that validate complete functionality. Important for quality but not show-stoppers.

Examples:

• UI displays correctly across browsers
• Performance is acceptable
• Accessibility requirements met

Testing strategy: Include in full regression, test during normal cycles, automate as resources allow.

Low (P3) — Green

Nice-to-have tests for edge cases and minor scenarios. May defer to future releases if time-constrained.

Examples:

• Unusual character handling
• Legacy browser support
• Extreme scale scenarios

Testing strategy: Test when time permits, document known limitations, schedule for future.

Understanding Test Types

Enable different test types based on what aspects you need to validate:

Functional Tests (Always Included)

Verify that features work as specified. The core of any test suite.

Focus areas:

• Feature behavior matches requirements
• Inputs produce expected outputs
• Workflows complete successfully

Negative Tests

Verify the system handles invalid inputs, error conditions, and failure scenarios appropriately.

Focus areas:

• Invalid input rejection
• Error message clarity
• System stability under bad data

Edge Case Tests

Verify boundary conditions, unusual scenarios, and corner cases that users might encounter.

Focus areas:

• Minimum/maximum values
• Empty/null conditions
• Unusual character sets

Performance Tests

Verify the system meets speed, capacity, and resource requirements.

Focus areas:

• Response time thresholds
• Concurrent user handling
• Resource utilization

Security Tests

Verify authentication, authorization, and data protection requirements.

Focus areas:

• Authentication bypass attempts
• Authorization boundary testing
• Data exposure risks
• Input injection prevention

Usability Tests

Verify the user experience meets accessibility and usability standards.

Focus areas:

• Accessibility compliance (WCAG)
• Error recovery experience
• User feedback clarity
• Navigation intuitiveness

Understanding Detail Levels

Basic (5-10 Test Cases)

Best for quick validation, story grooming, or when you need a fast overview of test scenarios.

Includes:

• Core happy path tests
• Primary negative scenarios
• Critical boundary cases
• ~60 second generation time

Use when:

• Initial story refinement
• Quick coverage check
• Time-constrained testing
• Smoke test planning

Standard (10-20 Test Cases)

The sweet spot for most testing scenarios. Comprehensive enough for sprint testing, focused enough to be actionable.

Includes:

• All Basic scenarios
• Additional edge cases
• Error handling scenarios
• Integration considerations
• ~90 second generation time

Use when:

• Sprint testing planning
• Feature verification
• QA test plan creation
• Most typical scenarios

Comprehensive (20-40 Test Cases)

Thorough documentation for critical features, release candidates, and regulated industries.

Includes:

• All Standard scenarios
• Extensive edge cases
• Security considerations
• Performance scenarios
• Accessibility checks
• Detailed test data suggestions
• ~120 second generation time

Use when:

• Release candidate testing
• Critical feature validation
• Regulated industries (finance, healthcare)
• Exhaustive coverage required

Industry-Specific Considerations

The test case generator supports domain context for relevant test scenarios:

Technology / SaaS

• API contract testing
• Multi-tenant data isolation
• Scalability and performance
• Integration reliability
• OAuth/SSO flows

Healthcare

• HIPAA compliance validation
• Patient data privacy
• Audit trail verification
• Clinical workflow accuracy
• Regulatory documentation

Finance / Fintech

• Transaction integrity
• Calculation accuracy
• Regulatory compliance (PCI-DSS, SOX)
• Fraud detection triggers
• Audit requirements

E-commerce

• Checkout flow testing
• Payment integration
• Inventory accuracy
• Mobile responsiveness
• Conversion path validation

Education / EdTech

• Accessibility compliance (WCAG)
• Learning outcome tracking
• Assessment accuracy
• Student data privacy (FERPA)
• LMS integration

Manufacturing / Industrial

• IoT device integration
• Real-time data accuracy
• Production workflow testing
• Safety system validation
• Compliance documentation

Export Formats Explained

Markdown (.md)

Best for documentation, wikis, and version control systems.

Use for:

• Confluence or Notion documentation
• GitHub/GitLab wikis
• Pull request descriptions
• Shared documentation

Structure:

## Test Case: TC-001 - Valid Password Reset

**Category:** Happy Path
**Priority:** Critical
**Type:** Functional

**Preconditions:**
- User has a verified email address
- User account is active

**Test Steps:**

1. Navigate to login page
   - Expected: Login page displays with "Forgot Password" link

2. Click "Forgot Password" link
   - Expected: Password reset form is displayed

...

CSV (.csv)

Best for spreadsheets and test management tool imports.

Use for:

• TestRail, Zephyr, qTest imports
• Excel/Google Sheets analysis
• Custom test tracking systems
• Bulk updates and filtering

Columns: ID, Title, Description, Category, Type, Priority, Preconditions, Test Steps, Expected Results, Tags

JSON (.json)

Best for automation frameworks and programmatic access.

Use for:

• Test automation scripts
• CI/CD pipeline integration
• Custom tooling
• Data analysis and reporting

Structure includes:

• Full test suite metadata
• Nested test case objects
• Priority and category enums
• Summary statistics

Gherkin (.feature)

Best for BDD frameworks like Cucumber, SpecFlow, or Behave.

Use for:

• Cucumber (Java, JavaScript)
• SpecFlow (.NET)
• Behave (Python)
• Living documentation

Structure:

Feature: Password Reset
  Comprehensive test coverage for password reset functionality

  @critical @happy_path @functional
  Scenario: Valid password reset request
    Given User has a verified email address
    And User account is active
    When User navigates to login page
    And User clicks "Forgot Password" link
    And User enters registered email address
    Then Password reset email is sent within 5 minutes
    And Reset link contains unique token valid for 24 hours

AI Provider Options

This tool offers three ways to generate your test cases. To understand the differences between AI providers and models, see the guide on understanding the AI landscape:

Google Gemini (Default)

Uses our server-side Gemini integration. No setup required — just enter your details and generate.

Best for: Getting started quickly, consistent results, no API key needed.

OpenRouter (Free Models)

Access various free AI models through OpenRouter. Great for experimenting with different models at no cost.

Current free models:

• Google Gemma 3 1B/4B
• Meta Llama 3.2 3B Instruct
• Mistral Small 3.1 24B
• Qwen3 14B

Best for: Trying different models, cost-sensitive usage, model comparison.

Bring Your Own Key (BYOK)

For users who want full control. Use your own API keys with Gemini or OpenRouter. Your API key goes directly to the provider — it never touches our servers.

Best for: Heavy usage, privacy requirements, specific model preferences.

BYOK Setup

Google Gemini API Key

1. Visit Google AI Studio
2. Sign in and click “Create API Key”
3. Copy your key (starts with AIza...)
4. Paste in the BYOK configuration section

Recommended models (December 2025):

• gemini-2.5-flash — Fast and cost-effective, great for test case generation
• gemini-2.0-flash — Balance of speed and capability
• gemini-2.0-pro — Highest quality for complex scenarios

OpenRouter API Key

1. Visit OpenRouter
2. Create an account and go to API Keys
3. Create and copy your key (starts with sk-or-...)
4. Paste in the BYOK configuration section

Browse OpenRouter Models for options ranging from free to premium.

Writing Effective Test Case Input

Be Specific About Requirements

Weak input:

Test the login feature

Strong input:

Test the login feature for our web application:
- Users authenticate with email and password
- Password must be 8+ characters with 1 uppercase, 1 number
- Account locks after 5 failed attempts for 30 minutes
- "Remember me" option keeps session for 30 days
- OAuth login available for Google and Microsoft
- Rate limited to 10 login attempts per minute per IP

The more specific your input, the more targeted and useful your test cases.

Include Acceptance Criteria

When using advanced mode, write clear acceptance criteria:

Weak:

User can reset password

Strong:

Acceptance Criteria:
- User can initiate password reset from login screen
- Reset email is sent within 2 minutes of request
- Reset link expires after 24 hours
- Reset link is single-use only
- Password must meet complexity requirements
- User receives confirmation email after successful reset
- User is automatically logged in after reset
- Old sessions are invalidated after password change

Specify Business Rules

Business rules generate the most valuable edge case and boundary tests:

Business Rules:
- Password requirements: 8-128 characters, 1 uppercase, 1 lowercase, 1 number, 1 special character
- Password cannot match last 5 passwords
- Maximum 3 reset requests per hour per account
- Account lockout after 5 failed password entries
- Temporary lockout duration: 30 minutes
- Reset token must be cryptographically random (UUID v4)
- All password reset attempts logged for security audit

Define Preconditions

Clear preconditions prevent ambiguous test cases:

Preconditions:
- User must have a verified email address
- User account must be in "active" status
- User must not be currently locked out
- System must have email service configured
- Database must be accessible

Common Test Case Writing Mistakes to Avoid

Vague Steps

Wrong: “User logs in”

Right:

1. Navigate to /login
2. Enter valid email: test@example.com
3. Enter valid password: Test123!
4. Click "Sign In" button
5. Verify redirect to /dashboard

Missing Expected Results

Wrong: Steps without expected outcomes

Right: Every step has a clear expected result that’s verifiable.

No Test Data Specified

Wrong: “Enter valid data”

Right: “Enter email: test@example.com, password: ValidP@ss123”

Ignoring Negative Scenarios

Happy path testing is not enough. Include:

• Invalid inputs
• Boundary violations
• Missing required fields
• Concurrent access scenarios
• Network failure handling

Assuming State

Don’t assume the system is in a particular state. Specify preconditions explicitly.

Too Many Actions Per Step

Each step should be one atomic action. If a step requires multiple actions, break it into substeps.

Integration with Test Management Tools

The generated test cases integrate with popular tools:

Jira / Xray

• Export as CSV for direct import
• Use JSON for automation integration
• Map priority levels to Jira priorities

TestRail

• Export as CSV
• Match column mapping to TestRail fields
• Import into test suites

Azure DevOps Test Plans

• Export as CSV for bulk import
• Use Gherkin for automated test frameworks
• Link to user stories via tags

Cucumber / SpecFlow

• Export as Gherkin (.feature)
• Copy directly into feature files
• Refine step definitions as needed

qTest / Zephyr

• Export as CSV or JSON
• Map fields appropriately
• Organize into test folders

Best Practices for Generated Test Cases

Review and Customize

AI-generated test cases are a starting point, not a finished product. Always:

• Review for accuracy against your specific requirements
• Add domain knowledge only you have
• Remove irrelevant scenarios
• Adjust priority levels based on your context

Organize by Feature

Create separate test suites for each feature or user story. This makes:

• Regression testing targeted
• Coverage gaps visible
• Test maintenance manageable

Version Control

Store test cases in version control alongside code:

• Track changes over time
• Review test changes with code changes
• Roll back when needed

Automate Critical Tests

Use generated test cases to prioritize automation:

• Automate P0/P1 tests first
• Use as specifications for automation scripts
• Keep manual tests for exploratory testing

Regular Updates

Update test cases when:

• Requirements change
• Bugs are fixed
• New edge cases are discovered
• User feedback reveals scenarios

Frequently Asked Questions

How accurate are the generated test cases?

The AI generates high-quality test cases based on your input. The accuracy depends heavily on how well you describe the feature and requirements. We recommend always reviewing and customizing generated test cases for your specific context.

Can I regenerate with different options?

Yes! You can modify your input, change detail level, enable/disable test types, and regenerate as many times as needed. Each generation creates a fresh test suite based on your current settings.

Are my inputs stored?

Your inputs are processed for generation only. We don’t store your proprietary requirements. BYOK mode sends data directly to your chosen provider.

What if I need more specific test cases?

Use Advanced mode with detailed acceptance criteria, business rules, and test data requirements. The more specific your input, the more targeted the output.

Can I edit the generated test cases?

Currently, you can filter and export them, then edit in your preferred tool (Excel, TestRail, Confluence, etc.). Direct in-browser editing is planned for a future update.

How many test cases can I generate per day?

Anonymous users get 3 generations per day, free logged-in users get 10 per day. BYOK users have unlimited access. Pro subscribers have unlimited access.

What’s the difference between detail levels?

• Basic (5-10 tests): Quick validation, core scenarios only
• Standard (10-20 tests): Sprint testing, good coverage
• Comprehensive (20-40 tests): Full coverage, critical features

Can I export for automation frameworks?

Yes! Use JSON export for programmatic access or Gherkin export for BDD frameworks like Cucumber and SpecFlow.

Does it support all testing types?

The generator focuses on functional test cases. It can include security, performance, and usability scenarios, but these are specification-level tests, not executable scripts. You’ll need separate tools for load testing (JMeter, k6) or security scanning (OWASP ZAP).

How do I handle flaky generated tests?

If a test case seems ambiguous or unreliable:

1. Refine the input with more specific requirements
2. Break complex scenarios into smaller tests
3. Add explicit test data requirements
4. Review and adjust expected results

Making the Most of Generated Test Cases

Use It as a Starting Point

AI-generated test cases provide structure and coverage. Add your specific context, real user research, and organizational insights to make them truly yours.

Iterate and Refine

Generate multiple versions with different detail levels. Combine the best elements from each. Test different framings of the requirements.

Validate Coverage

Use generated test cases to identify gaps in your requirements. If the AI couldn’t generate tests for a scenario, maybe the requirement isn’t clear enough.

Share and Collaborate

Use generated test suites as conversation starters with your team. Developer and stakeholder feedback will strengthen test coverage significantly.

Build a Template Library

Save test suites that work well as templates for similar features. Over time, you’ll build a collection of proven test patterns.

Connect to Your Workflow

Export your test cases and integrate them into your existing tools — TestRail, Jira, Confluence, or wherever your team manages testing documentation.

Why Good Test Cases Matter

The cost of bugs found in production is 10-100x higher than bugs found during testing. Well-written test cases:

• Reduce escaped defects — Comprehensive coverage catches bugs early
• Speed development — Clear test criteria prevent ambiguity and rework
• Improve quality — Systematic testing ensures nothing is overlooked
• Enable automation — Good test cases become automation specifications
• Align teams — Everyone understands what “working” means
• Document behavior — Test cases serve as living documentation

Your product quality deserves thorough testing. Start generating test cases now.