Mock Data Generator

How to use the Mock Data Generator

1. Start from the default columns (id, first_name, last_name, email) or edit them. Type a column name and pick a type for each one.
2. Click + Add Column for more fields, or the × button to remove one. Types include Text, Integer, Float, Boolean, Date, Email, UUID, First Name, Last Name, City, Country, Phone, Company and URL.
3. Set Row Count, from 1 to 100,000.
4. Choose an Output Format: CSV, JSON, NDJSON or TSV. Click Generate Data to fill the preview with the first 200 rows.
5. Click Download to save generated-data with the matching extension. Click Generate Data again for a fresh random set.

Worked example

You need a small customer table to test an import script, with a unique key, a name, a signup date and an active flag.

Column setup

customer_id   UUID
first_name    First Name
signup_date   Date
active        Boolean

Settings

• Row Count: 3
• Output Format: CSV

Output: generated-data.csv (sample run)

customer_id,first_name,signup_date,active
3f1c2a9e-7b4d-4e8a-9c21-5d6f0b8a1e47,Linda,2023-04-17,true
a92e6d10-1c5f-4b3a-8e7d-2f94c6b0d315,Kevin,2021-11-02,false
0d7b4e82-65a9-4f1c-b3e0-9a8c1d2e7f56,Sarah,2025-06-29,true

Every run produces new random values, so your file will differ from this one, but the column names, order and formats will match. Dates are always YYYY-MM-DD, booleans are true or false, and UUIDs are version 4. With JSON selected, the same rows download as an array of objects, and booleans and numbers keep their types instead of becoming text.