Fake Data Generator

Business & Productivity

Generate realistic test data: names, emails, addresses, and more.

Fields

What is Fake Data Generator?

Fake Data Generator produces realistic synthetic test data — names, emails, addresses, phone numbers, UUIDs, company names, dates of birth, and more — for up to 1,000 records at a time. Export as JSON, CSV, or SQL INSERT statements.

How to use Fake Data Generator

1

Build your schema

Add fields by clicking "+ Add Field". For each field, set a name and choose a data type (Full Name, Email, UUID, City, Credit Card, etc.).

2

Set record count

Enter how many records to generate — up to 1,000 per run.

3

Choose the output format

Select JSON, CSV, or SQL. For SQL, enter the target table name.

4

Click Generate

The generator creates all records instantly using cryptographically random seeds.

5

Preview and export

The preview table shows the first 8 rows. Click Copy or Download to export the full dataset.

Who uses Fake Data Generator?

Database seeding

Developers

Populate a development or staging database with realistic-looking user records, orders, and addresses for UI testing.

Load testing

QA engineers

Generate thousands of realistic user records to test how an application performs under database load.

UI design prototyping

Designers

Fill mockups and Figma prototypes with real-looking names, emails, and addresses instead of repetitive "John Doe" placeholders.

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FAQ

What data types can be generated?+
Full name, first/last name, email, phone, address, city, country, ZIP code, company, job title, date of birth, UUID, credit card (fake), username, and password (hashed).
Can I export as CSV or JSON?+
Yes — generate up to 1,000 records and export as JSON, CSV, or SQL INSERT statements.

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