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Realistic test data in seconds

Developers building REST APIs need realistic test data, not empty arrays and placeholder strings. This generator produces fake-but-plausible names, emails, addresses, phone numbers, dates, and more in JSON, CSV, or SQL format — with control over row count and field types.

Step by Step

  1. 1Add fields and select a data type for each (name, email, phone, etc.).
  2. 2Set the number of rows to generate.
  3. 3Choose output format: JSON, CSV, or SQL.
  4. 4Click Generate and copy or download the result.

Feature Highlights

  • Dozens of field types: names, addresses, emails, dates, UUIDs, and more
  • Locale-aware data generation
  • JSON, CSV, and SQL INSERT output
  • Configurable row count
  • Schema save and reuse
  • Nested object support for JSON output
  • Download or copy to clipboard

The Details

Define your schema by adding fields and assigning each one a data type — first name, last name, email, street address, company, date, UUID, and dozens more. The generator uses locale-aware fake data so names and addresses look plausible for your target region. Output formats include JSON arrays, CSV files, and SQL INSERT statements with configurable table names.

Popular Scenarios

  • API prototyping

    Populate a mock API server with realistic data to demo frontend features before the backend is ready.

  • Database seeding

    Generate SQL INSERT statements to seed development and staging databases with test records.

  • Load testing

    Create large datasets for performance and stress testing without exposing real user data.

  • UI development

    Generate realistic data to test table layouts, search results, and form autofill at various lengths.

  • Demo environments

    Fill demo instances with believable data for client presentations and sales walkthroughs.

Examples

  • Seed a user table

    Create a schema with firstName, lastName, email, signupDate, and role fields, generate 100 rows, and export as SQL INSERT statements.

  • Populate a product catalog

    Use productName, price, category, SKU, and description fields to generate a CSV for import into your e-commerce dev environment.

Frequently Asked Questions

Is the generated data truly random?

It's random but realistic — names come from weighted name lists, addresses use real city/state combinations, and emails match the generated name.

Can I generate relational data with foreign keys?

The tool supports basic schemas. For complex relational structures, generate each table separately and use the UUID or integer ID field as a reference.

What locales are supported?

English (US/UK), plus several other locales for names and addresses. Check the locale dropdown for the full list.

Privacy First

All processing happens directly in your browser. Your files never leave your device and are never uploaded to any server.