How to Generate Fake Test Data

Generate realistic fake data for testing: names, emails, addresses, phone numbers, and more. Free mock data generator with JSON, CSV, and SQL output.

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Step-by-Step Guide

1

Choose your data types

Select the fields you need from the available data types — names, emails, addresses, phone numbers, dates, UUIDs, and more. Each field generates realistic, properly formatted values. You can mix and match fields to create a custom schema that matches your application database or API response structure.

2

Set the number of rows

Specify how many records you want to generate. Start with 10-20 rows for quick testing and UI development, or scale up to hundreds for load testing and database seeding. The generator creates each row with unique, randomized values so your test data looks realistic and covers edge cases.

3

Customize locale and format options

Choose a locale to get region-appropriate data — US addresses with ZIP codes, UK phone numbers with country codes, or Japanese names in the correct character set. Adjust format options like date patterns (ISO 8601, Unix timestamp) and number ranges to match your application requirements precisely.

4

Export as JSON, CSV, or SQL

Download your generated data in the format you need. Choose JSON for API testing and frontend development, CSV for spreadsheet imports and data analysis, or SQL INSERT statements for direct database seeding. Copy to clipboard for quick use, or download as a file for larger datasets.

Try It Now — Free

No signup, no download. Runs entirely in your browser.

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Frequently Asked Questions

Is the generated data private and secure?
Yes — all data generation happens entirely in your browser using client-side JavaScript. No data is sent to any server, and nothing is stored or logged. The tool uses algorithmic randomization to create fake data on the fly, so there is zero risk of exposing real personal information.
What types of fake data can I generate?
The tool supports a wide range of data types including: personal information (names, emails, phone numbers, addresses), business data (company names, job titles, departments), internet data (URLs, IPs, user agents, MAC addresses), financial data (credit card numbers, IBANs, currencies), and technical data (UUIDs, hashes, dates, booleans).
Can I use generated data for database seeding?
Absolutely — the SQL export option generates ready-to-run INSERT statements that you can execute directly against your database. Define your table schema by selecting the matching data types, generate the number of rows you need, and export as SQL. This is ideal for populating development and staging databases with realistic test data.
Related Reference

JavaScript Cheat Sheet

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