Mock Data Generator

The Mock Data Generator produces realistic fake records — names, emails, addresses, companies and more — as ready-to-use JSON or CSV, for whenever a project needs test data that looks real without using anyone's actual information. Pick the fields you want, choose how many rows, and generate instantly.

It's built for the situations that come up in nearly every project: seeding a database or API mock with plausible records during development, generating sample rows for a spreadsheet template or import-testing script, populating a UI with realistic-looking data before real content exists so a design review isn't distracted by 'Lorem Ipsum' or 'Test User 1', and creating throwaway data for a demo without exposing anything from a real customer database.

Data is generated using Faker, a widely-used library for producing realistic-looking (but entirely synthetic) values — names that sound like real names, emails with plausible formats, addresses with real-sounding street and city names, companies with invented-but-believable names — rather than obviously fake placeholders like 'John Doe' repeated on every row, which makes generated data far more useful for realistically testing how a UI or export handles varied real-world input.

Every value is fabricated fresh each time you generate — there is no database of real people behind any of it, and no field here pulls from or resembles actual individuals. Fields can be mixed and matched freely (a UUID plus an email and a boolean flag, for instance), and switching output format between JSON and CSV re-shapes the same generated fields rather than requiring a second pass, so it's quick to try both and see which fits the destination — a JSON array for an API mock, or a CSV for a spreadsheet import test. Rows are generated up to a 500-row cap per run, comfortably enough for most testing and demo scenarios, and generation happens entirely in your browser, so nothing about your use case (what you're testing, what fields you need) is sent anywhere.