🧪 Test Data Generator

Generate test data for development and testing. Create fake names, emails, addresses, phone numbers, dates, and more.

11000
[
  {
    "id": 378,
    "name": "Jane Smith",
    "email": "olivia.martinez@example.com"
  },
  {
    "id": 200,
    "name": "David Smith",
    "email": "david.jones@test.com"
  },
  {
    "id": 639,
    "name": "Jane Rodriguez",
    "email": "sarah.martinez@mock.net"
  },
  {
    "id": 161,
    "name": "Jane Garcia",
    "email": "jane.johnson@mock.net"
  },
  {
    "id": 497,
    "name": "Sarah Davis",
    "email": "jane.brown@test.com"
  },
  {
    "id": 792,
    "name": "John Johnson",
    "email": "emily.garcia@test.com"
  },
  {
    "id": 891,
    "name": "David Rodriguez",
    "email": "emma.davis@sample.org"
  },
  {
    "id": 909,
    "name": "James Martinez",
    "email": "david.miller@demo.com"
  },
  {
    "id": 435,
    "name": "John Rodriguez",
    "email": "michael.smith@demo.com"
  },
  {
    "id": 198,
    "name": "Michael Davis",
    "email": "olivia.rodriguez@demo.com"
  }
]

How to Generate Test Data

  1. Choose the number of rows you want to generate (1–1000).
  2. Add or customize fields: names, emails, phones, addresses, dates, numbers, etc.
  3. Switch between JSON, CSV, or SQL output depending on your use case.
  4. Copy the generated dataset or export it into your QA scripts and seed files.

Tip: Rename fields to match your database schema (e.g., first_name, created_at).

Supported Field Types

Personal Data

  • Full names, emails, phone numbers
  • Street addresses, cities, postal codes
  • Dates with start/end range and ISO format

Technical Fields

  • Random numbers with min/max range
  • UUIDs, URLs, IP addresses
  • Short text snippets with configurable word counts

Best Practices for Mock Data

  • Keep personally identifiable information fake to avoid compliance issues.
  • Generate edge cases: long strings, high/low numbers, dates in the future/past.
  • Store reusable datasets in version control to keep QA runs deterministic.
  • Use SQL export to seed local databases quickly during onboarding.