About Fake Data Generator

A professional fake data generator tool that creates realistic test data for development, testing, and demonstration purposes. Generate various types of random data including personal information, contact details, company data, and more. Perfect for developers, QA testers, and anyone who needs sample data.

What is fake data and why do I need it?

Fake data (also called mock data, dummy data, or test data) is randomly generated information that looks realistic but isn't real. It's essential for:
• Testing applications without using real user data
• Protecting user privacy during development
• Creating demos and presentations
• Populating databases for development environments
• Load testing and performance testing
• Training and documentation purposes

What types of data can I generate?

This tool supports generating various data types:
• Personal Information: Names, emails, phone numbers, addresses
• Company Data: Company names, job titles, departments
• Dates: Birth dates, registration dates, custom date ranges
• Numbers: Random integers, decimals, currency amounts
• Text: Lorem ipsum, descriptions, comments
• Technical: UUIDs, IP addresses, URLs, usernames
• Financial: Credit card numbers (test only), bank accounts
• Colors: Hex codes, RGB, color names
• And more...

Is the generated data real?

No, all data generated by this tool is completely fake and randomly created. Names, addresses, phone numbers, email addresses, and other information are not real and should not be used for any purpose other than testing and development. Credit card numbers use the Luhn algorithm for validation testing but are not real cards.

What output formats are supported?

The tool supports multiple output formats:
• JSON: Perfect for APIs and JavaScript applications
• CSV: Compatible with Excel, Google Sheets, and databases
• SQL INSERT: Ready-to-use SQL statements for database population
• Plain Text: Simple line-by-line format for quick testing

All formats can be easily copied or downloaded.

Can I generate data in different languages?

Yes! The tool supports multiple locales including English (US/UK), Vietnamese, French, German, Spanish, Italian, Japanese, Korean, and Chinese. This affects names, addresses, phone formats, and other locale-specific data to match regional conventions.

Fake Data Generator — Generate realistic fake test data for QA and backend devs. Seed for reproducible datasets, pick a locale, export to JSON — **Fake Data Generator**

How many records can I generate at once?

You can generate up to 1,000 records in a single operation. This limit ensures optimal performance and prevents browser memory issues. For larger datasets, you can generate multiple batches and combine them.

Can I customize the fields for Person data?

Yes! When selecting 'Person (Full Profile)' as the data type, you can choose which fields to include such as name, email, phone, address, date of birth, company, job title, etc. This allows you to generate exactly the data structure you need.

Is it safe to use this tool?

Yes, this tool is completely safe. All data generation happens in your browser - nothing is sent to any server. The tool is purely client-side JavaScript, ensuring your privacy and allowing offline use once loaded.

Can I use the generated data in my projects?

Absolutely! The generated fake data is free to use for testing, development, demonstrations, and any other non-commercial or commercial purposes. However, never use it as real data or attempt to use test credit card numbers for actual transactions. Note: test credit-card numbers are Luhn-valid and work in Stripe test mode, but never in live mode.

How do I generate reproducible (seeded) test data for CI fixtures?

Enter an integer in the Seed field before generating. The same seed always produces the exact same dataset, so the output is deterministic and safe to commit as a fixture for CI pipelines, snapshot tests, and bug reproduction. Leave the field blank for fresh random data on every run. Two runs with Seed = 42 give byte-identical results, making diffs stable and failures reproducible. (Passwords also become deterministic when a seed is set; they stay random when no seed is given.)

How do I import the CSV or SQL into Postgres or MySQL, and is it GDPR-safe?

Pick SQL INSERT to get ready-to-run statements (identifiers are backtick-quoted) you can paste straight into MySQL, or load the CSV with PostgreSQL's COPY ... FROM or MySQL's LOAD DATA INFILE to seed a staging database in seconds. Because every value is synthetic and contains no real personal data, it is PII-free and safe to use in staging, demos, and shared environments without GDPR concerns.