Fake Data Generator - Create Test Data Instantly

The generator creates realistic test data including full names, email addresses, physical addresses (street, city, state, zip), phone numbers, birth dates, UUIDs, and unique IDs. You can select any combination of these fields to include in your output.

You can generate between 1 and 1000 records in a single batch. For most testing and development scenarios, 10-100 records are sufficient. Larger datasets may take a few seconds to generate and format.

The tool exports data in three formats: JSON (array of objects), CSV (comma-separated values with headers), and SQL INSERT statements (ready to execute). Each format is optimized for different use cases - JSON for APIs, CSV for spreadsheets, SQL for databases.

No, all data is completely fake and randomly generated. Email addresses use example.com domain to prevent accidental sends. Addresses combine real city/state names with fictional street numbers and names. Phone numbers use invalid area codes to avoid real numbers.

Yes, you can select US, UK, or Canada locales. This affects address formats (postal codes vs ZIP codes), phone number formats (including country codes), and regional naming conventions. More locales can be added based on demand.

UUIDs are guaranteed unique using RFC 4122 v4 standard. Other fields (names, emails) are randomly combined but may occasionally repeat in large datasets. IDs are sequential and always unique within a batch.

Select SQL INSERT format, choose your desired fields and record count, then generate. Copy the output and execute it in your database client. Remember to adjust the table name in the INSERT statements to match your schema.

Absolutely. Select JSON format and the fields your API expects. The output is valid JSON that can be directly used in POST requests, test fixtures, or mock data files. Each record is a properly formatted object with your selected fields.

No, all data generation happens entirely in your browser using JavaScript. Nothing is uploaded to any server. The fake data is created locally and you control when and how to export it.

Use realistic field combinations (don't include UUID with birth date if not needed). Start with small batches (10-20 records) to verify format. For CSV imports, check delimiter compatibility. For SQL, verify field order matches your table schema. Always use test/dev databases, never production.

Fake Data Generator - Create Test Data Instantly

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