A fake data generator creates realistic but entirely fictional records for software testing and development. Use it to populate test databases, seed prototypes, validate form inputs, or build demo environments without risking real personal information.
Configuration
How to Use the Fake Data Generator
Generating realistic test data is an essential part of software development. Whether you are building a new application, testing form validation, or populating a staging database, this fake data generator lets you create realistic records in seconds without risking real personal information.
Step 1: Choose Your Locale
Select a locale to control the regional style of the generated data. Choosing "Germany (DE)" will produce German names, cities, and phone number formats, while "United States (US)" generates American-style records. This ensures your test data looks realistic for the target audience of your application.
Step 2: Select Fields and Quantity
Check the boxes for the fields you need: names, emails, phone numbers, addresses, dates, companies, credit card numbers, UUIDs, and IP addresses. Then pick how many rows to generate, from a single record up to 100 rows at a time. Only the selected fields appear in the output, keeping it clean and relevant.
Step 3: Pick an Output Format
Choose the format that fits your workflow. JSON produces a structured array of objects, perfect for API mocking. CSV gives you comma-separated values with headers for spreadsheets and imports. SQL INSERT generates ready-to-run statements for database seeding. Tab-separated output pastes cleanly into Excel or Google Sheets.
Step 4: Generate, Copy, or Download
Click "Generate Data" to create your test data instantly. The output appears below the controls. Use the copy button to grab it to your clipboard or the download button to save it as a file. Generate as many batches as you need; everything runs locally in your browser with no server round-trips.
Privacy and Safety
All data is generated client-side from built-in seed arrays. Nothing is sent to any server, and no real personal data is ever used. The credit card numbers are entirely fictional and cannot be used for transactions. This fake data generator is a safe, private tool for developers and testers.
FAQ
Is this fake data generator completely free?
Yes, this tool is 100% free with no limits. Generate as many rows as you need in any format. There are no premium features, no signup, and no restrictions.
Is my generated data private?
Absolutely. All data is generated entirely in your browser using JavaScript. No data is ever sent to any server, stored, or logged. Everything runs locally on your device.
Can I use the generated data for software testing?
Yes, that is exactly what this tool is designed for. The fake data is perfect for populating test databases, testing form validation, building UI prototypes, and seeding development environments with realistic-looking records.
Are the generated credit card numbers real?
No. The credit card numbers produced by this tool are entirely fake and will not work for any real transaction. They follow realistic formatting patterns but are randomly generated and not linked to any real account.
What output formats does the fake data generator support?
You can export generated data as JSON (array of objects), CSV (comma-separated values with headers), SQL INSERT statements ready to paste into a database, or tab-separated values for easy pasting into spreadsheets.
Does the locale setting change the generated data?
Yes. Selecting a locale changes names, addresses, phone number formats, and cities to match that country. For example, selecting Germany (DE) produces German names and addresses with proper postal code formats.
How many rows of fake data can I generate at once?
You can generate up to 100 rows at a time. Since everything runs in your browser, larger batches are processed instantly with no server delays. You can generate multiple batches as many times as you need.
Can I choose which fields to include in the output?
Yes. Use the field selector checkboxes to pick exactly which data fields you want: names, emails, phone numbers, addresses, dates, companies, credit card numbers, UUIDs, IP addresses, and more. Only the checked fields appear in the output.