Mock Data Generator

Create sets of realistic mock data like users, addresses, and companies for testing purposes. Free fake data generator — outputs JSON. No signup required.

Features

Common Use Cases

Mock data generation saves time when building and testing applications that need realistic-looking records. Rather than manually inventing names, addresses, and email addresses, you can generate hundreds of realistic records in seconds. This is useful for populating development databases, creating demo datasets for client presentations, and writing automated tests that need varied input data.

How to Use

  1. Select the data type: Person, Address, or Company.
  2. Set the number of records you need.
  3. Click Generate. Realistic fake data is created instantly.
  4. Download the result as a JSON file or copy it directly.
  5. For more complex custom schemas, tools like Faker.js or Mockaroo offer fully configurable field types.

Privacy & Security

All processing for Mock Data Generator runs entirely in your browser. Your data — whether text, files, or other content — is never transmitted to any server. DevToolHub has no backend that receives or stores your inputs. This means the tool works even offline once the page has loaded, and there is no risk of your data being intercepted or stored by a third party.

Frequently Asked Questions

Is the generated data truly random and unique?

The generator draws from a predefined pool of sample values. For small batches you will see good variety, but for very large sets some values will repeat. It is not cryptographically random.

Can I customize the fields in the generated data?

This tool provides built-in templates for Person, Address, and Company. For fully custom schemas, tools like Faker.js or Mockaroo let you define arbitrary field names and types.

How do I import this data into a database?

Download the JSON file and use your database import tooling. For MongoDB use mongoimport with jsonArray, for PostgreSQL convert to CSV first then use COPY, or use GUI tools like TablePlus or DBeaver.

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