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Random User Generator

Generate complete fake user profiles for seeding and design work.

Quick Tool Overview

The Random User Generator produces whole fictional user records rather than isolated fields — name, username, email, phone, address and date of birth, all belonging to the same invented person.

What it does
Generates complete fake user profiles
You give it
A count, a locale and the fields you need
You get back
Consistent records as JSON, CSV or SQL
Best for
Seeding users and filling a design with plausible data
Developer Tools Free, unlimited use No sign-up Runs in your browser

About the Random User Generator

Generates whole user records rather than isolated fields, which is what makes them usable for seeding a database or filling a design. The name, username, email, phone number, address and date of birth all belong to the same fictional person.

The consistency is the point. A record where the email is unrelated to the name looks wrong in a screenshot and hides the bugs a realistic one would find — a long surname that overflows a column, an address that wraps to three lines, an age calculated from a date of birth that crosses a birthday. Locale affects the address, postcode and phone format together, so a UK user has a UK postcode and a UK phone number.

Key features of the Random User Generator

One person per record

Username and email derive from the name, and the phone and postcode from the same country — so a screenshot does not look assembled.

Ages that add up

The age is calculated from the date of birth, which catches the off-by-one bug that only appears around a birthday.

Safe for screenshots

Nothing here belongs to a real person, so a demo or a bug report needs no redaction.

Field selection

Include only the columns your schema actually has, so the output pastes in directly.

Cryptographically random

Drawn from the browser’s secure source, so two runs never produce the same set.

How to use the Random User Generator

  1. 1

    Set the count

    From one profile to several hundred.

  2. 2

    Choose a locale

    Address, postcode and phone format follow it consistently.

  3. 3

    Pick the fields

    Include only what your schema actually has.

  4. 4

    Take the output

    JSON, CSV or SQL inserts, ready to seed.

Frequently asked questions

Yes. The email and username derive from the name, and the city, region, postcode and phone format all come from the same country — so a record reads as one person.

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