Data Settings

Live Result

 

Generate Test Records for Development

Create mock names, emails, phone numbers, dates, countries, companies, amounts, and IDs for prototypes, demos, database seeds, and API tests.

Do Not Treat Mock Data as Real User Data

Generated records are for testing layout and code behavior. Replace them before production and avoid using mock contacts as if they represent real people.

Where Mock Data Helps

Use mock data for UI tables, forms, dashboards, QA scenarios, CSV imports, JSON API examples, no-code demos, and placeholder database content.

About This Tool

Mock Data Generator creates realistic fake datasets with names, emails, phone numbers, addresses, dates, UUIDs, and other field types in JSON, CSV, or SQL format. It is used to populate development databases and test application behaviour with realistic data.

When to Use It

Use this when you need a test dataset to populate a database before real user data exists, when testing an API endpoint with realistic-looking input, or when creating sample data for a software demo.

How to Use

  1. Select the fields you want to generate.
  2. Set the number of records.
  3. Choose the output format: JSON, CSV, or SQL.
  4. Click Generate and download the dataset.

Frequently Asked Questions

Is mock data safe to use in production?

Mock data is for development and testing only. Never use fake data in production systems or share it as if it were real.

Can I generate data in a specific locale?

Yes. Select the locale for names, addresses, and phone numbers to produce data that looks authentic for a specific country or region.

Can I generate related data across multiple tables?

Set up foreign key relationships by generating IDs in one dataset and referencing them in another.