Fake Data Generator

Fake data is used for testing applications, populating databases during development, creating demo content, load testing, and prototyping UIs without needing real user data.

Yes! The tool uses the Faker.js library which generates contextually appropriate data — real-looking names, valid email formats, properly formatted addresses, and more.

Yes. Use 'Add Object' to create nested groups. Objects can contain fields or more nested objects up to 3 levels deep.

JSON, CSV, SQL INSERT statements, and XML. Nested objects are flattened for CSV and SQL using dot notation.

You can generate up to 10,000 rows at once. Large datasets (5000+) may take a few seconds to process in your browser.

The generator supports over 20 field types organized by category: Person (first name, last name, full name, email, phone, avatar), Address (street, city, state, zip, country, latitude, longitude), Commerce (product name, price, company, department), Date/Time (past date, future date, recent date), Internet (URL, IP address, username, password), and more. You can also use custom regex patterns and pick-from-list for custom enumerated values.

The tool currently generates data using the default English (en) locale provided by Faker.js. Names, addresses, and other locale-sensitive fields reflect English-language patterns. Faker.js supports over 60 locales including French, German, Japanese, and Chinese, and locale support may be added to the tool in a future update.

Click 'Add Object' to create a nested group within your schema. Objects can contain regular fields or additional nested objects up to 3 levels deep. For example, you can create a 'user' object containing 'name' and 'email' fields, with a nested 'address' object containing 'city' and 'zip'. The generated JSON preserves this hierarchy, while CSV and SQL exports flatten nested fields using dot notation.