Data Faker

A fake data generator creates realistic-looking but entirely fictional data for use in software development, testing, and demonstrations. It produces names, emails, addresses, phone numbers, and other structured values that look real but are not associated with any actual person or organization.

No. All data is generated entirely in your browser using client-side JavaScript. Nothing is transmitted to our servers, so you can safely generate data that resembles sensitive information like credit card numbers without any privacy risk.

You can generate up to 1,000 rows per request. For most development and testing needs this is more than sufficient. If you need larger datasets, you can generate multiple batches and combine them.

The tool supports three export formats: JSON (an array of objects), CSV (comma-separated values with a header row), and SQL (INSERT INTO statements ready to run against a relational database). You can copy the output or download it as a file.

Yes. For each field you can set a custom label that becomes the key name in JSON and CSV, and the column name in SQL. This lets you match the exact schema of your target database or API without any post-processing.

The tool offers 24 data types covering personal data (full name, first name, last name, email, phone, address, city, country, zip code), professional data (company, job title, username, password, URL), technical data (IP address, UUID, boolean, integer, float, color), and text data (sentence, paragraph, credit card, date).

No. The generated credit card numbers are random 16-digit strings formatted in the standard 4-4-4-4 grouping. They do not pass Luhn algorithm checks and cannot be used for any financial transaction. They are purely for UI or schema testing.

Yes. You can add as many fields as you need, including multiple fields with the same type but different labels. For example, you could add two email fields labelled 'primary_email' and 'backup_email' and each will generate an independently randomised value.

The SQL output is a single INSERT INTO statement with all rows provided as a VALUES list. The table name is auto-derived from your field labels. All values are single-quoted and properly escaped. You can paste the statement directly into MySQL, PostgreSQL, or SQLite.

The integer type generates whole numbers in the range -10,000 to 100,000. The float type generates decimal numbers between 0 and 1,000 with two decimal places. Use integer for IDs, ages, and counts; use float for prices, scores, and measurements.

This tool is intended for development, staging, and testing environments only. Never insert generated fake data into a production database. The data is not unique across sessions and does not guarantee referential integrity between fields.

The current name lists are English-language. The generated names reflect common American English first and last names. Future updates may include localised name lists for other regions.