Free Fake Data Generator – Generate Test Data Online Instantly

How to Generate Test Data

1. Choose a locale: English (US) or English (UK).
2. Pick the fields you need from 19 types across Person, Business, Address, Tech, Date, Finance and Text.
3. Set the number of rows, from 1 to 500.
4. Choose JSON, CSV or Plain Text as the output format.
5. Click Generate, then use Copy Output to copy the result. There is no file download, so paste the output into a file or your code.

Keys and column headers use the field labels, such as Full Name and Email. In CSV output, values that contain commas or quotes are wrapped in quotes, and Plain Text lists each record under its own heading.

What the Generated Data Looks Like

Values come from the open-source Faker library and are random on every run. There is no seed option, so you cannot regenerate the same dataset, and values can repeat within a dataset. Keep these details in mind when you use the data:

• Locale: the locale changes the style of names, phone numbers, street addresses and postcodes. The Country field is picked from countries worldwide, whichever locale you choose.
• Phone numbers: they use the national format without extensions, such as (602) 968-4071 for the US or 0384 121 2796 for the UK. The digits are random, so a number may not be valid or in service.
• UK postcodes: they follow the UK postcode format, such as KT4 7NP, but the letters and digits are random, so most of them do not exist. Use them to test format checks, not address lookups.
• Card numbers: they pass the Luhn checksum, so they look like valid card numbers to format checks. They are generated at random rather than taken from real accounts, but a random number can still match a real card by chance. Use them only to test format handling, and never in real payment systems.
• Dates and amounts: dates fall within the past year, and amounts range from 10 to 10,000 with a $ or £ sign depending on the locale.

Using Fake Data Safely

Generated email addresses use the reserved example.com, example.net and example.org domains, which are set aside for documentation and testing. Generated names, phone numbers and addresses can still match real people or businesses by chance. Never send real messages to generated contact details. Use a test inbox or a sandbox service when your tests need to send messages.

The data is generated in your browser and is not sent to a server. Using synthetic records instead of copies of real customer data can reduce the personal data held in development and test environments, but it does not make a project compliant on its own. Whether your use meets data protection rules depends on how you build and run your systems.

Our guide to dummy data generators covers more use cases. To format generated JSON or convert it between JSON and CSV, use the JSON/CSV Formatter, and to check validation patterns against generated values, such as emails or phone numbers, try the Regex Tester.