Test Data Generator

Generate realistic fake data for testing and development

The Test Data Generator is a browser-based tool that produces realistic fake data for development and QA use, offering quick presets (users, products, addresses) and a custom schema builder where you define field names, types, and value constraints.

Data Type

Count (1-100)

Output Format

Configure options and generate

About Test Data Generator

Generate realistic fake data for testing and prototyping. Use Presets for quick single-type data, or switch to Custom Schema to define your own multi-field structure with types like Integer, Float, String, Boolean, Date, UUID, Enum, and Auto-increment. Output in JSON, CSV, SQL INSERT, or plain text format. All data is generated locally in your browser.

Frequently Asked Questions

How do I generate fake test data with names, emails, and addresses?

Switch to the Presets tab, choose a data type like Users, Products, or Addresses, set the number of records to generate, and click Generate. The tool produces realistic-looking but entirely fictitious records. For custom fields, switch to the Custom Schema tab, define your field names and types, and generate accordingly.

Is the generated test data sent to or stored on a server?

No. All data generation runs in your browser using JavaScript random number and string generation. No data is transmitted or logged anywhere. The generated records exist only in your browser until you copy or download them.

What output format does the test data generator produce?

The tool outputs generated data as JSON arrays by default, which you can copy directly into your code, API mocks, or database seeding scripts. JSON is interoperable with most programming languages and can be easily converted to CSV, SQL INSERT statements, or other formats using the Data Format Converter or JSON to CSV tools available in the same tool suite.

Can I define my own field types and value ranges in the custom schema?

Yes. The Custom Schema tab lets you add fields with specific types such as name, email, phone, date, number, boolean, and more. For number fields you can set minimum and maximum bounds; for date fields you can set a range. Remove or reorder fields as needed before generating.

Is the generated test data realistic enough for UI prototyping?

The presets produce plausible-looking data (varied names, formatted phone numbers, realistic email addresses) suitable for UI demos and mockups. However, the data is not statistically representative of any real population and is not suitable for performance or load testing that requires realistic data distributions. For production load testing, use tools like Faker.js or similar libraries with locale-specific datasets.