Test Data Generator

// HOW TO USE

1. 01Open Configure Fields to toggle default columns or add custom fields (number, text, UUID, date, pattern, etc.).
2. 02Click Generate for a single record, or Generate Bulk with the count selector for up to 100 at once.
3. 03Switch between Table, JSON, and CSV views, then Copy or Download.

// WHEN TO USE

Use this when you need structured test records that match a specific schema — user profiles, order records, transaction entries — with fields you control precisely. Unlike the Mock Data Generator's preset-driven approach, this tool lets you define each field type and configure its constraints (min/max for numbers, patterns for strings, date ranges). Use it to produce fixture files for data-driven tests where each row represents a distinct test case with known field values.

// WHAT BUGS THIS FINDS

• Pattern field rejected by application validation

  A custom pattern like USR-#### generates IDs that don't satisfy the application's validation regex — generate a sample batch, run it through the application, and confirm the pattern is accepted end-to-end.

• Date range produces out-of-bounds values

  A date field configured with too-wide a range produces dates that fail business-rule validation — narrow the range and regenerate to keep all values within the valid window.

• Numeric boundary not exercised

  A Random Number field set to min 18, max 65 never tests the exact boundaries — supplement generated rows with manually crafted boundary cases at 17, 18, 65, and 66.

• CSV download encoding breaks import

  A generated CSV with non-ASCII characters in a text field imports with garbled characters into the target tool — verify encoding before distributing the fixture to team members.

// QA USE CASES