Text Style & Fun

Random User Generator - Mock User Data for Devs

Generate random users with complete profiles for software testing. Like randomuser.me but client-side.

100% Client-SideNo Tool Data StoredFree to UseNo Account Needed
Fake Profile Generator
⚠ For testing and mockups only. Names, emails, addresses, and phone numbers are randomly assembled and may match real people by coincidence. Don't use for fraud, harassment, or impersonation. Email addresses do not exist. Phone numbers don't route.

How to Use Random User Generator

  1. 1

    Choose country.

  2. 2

    Set how many random users you need.

  3. 3

    Export as JSON for code, CSV for spreadsheets, or copy individual users.

About Random User Generator

Generate random mock users for software development. Complete profiles with name, email, phone, address, age, occupation. Browser-side alternative to API services like randomuser.me - no API key, no rate limits, no network dependency. JSON and CSV export drop straight into seed scripts. For database seeding, UI mockups, design prototypes, tutorials, testing flows.

FRI

Built by

Fateh Raiyan Ishmum

Full-stack dev since 2020. Full-stack web developer since 2020. Builds privacy-first, open-web tools. Specialises in Next.js, TypeScript, and performance-focused design.

Frequently Asked Questions

Seeding databases for development, populating UI mockups with realistic-looking users, testing forms that require all fields, building tutorials, designing user-list components. Real test users protect your real users' PII.

randomuser.me is an API service - you make HTTP calls and they return JSON. Our tool runs entirely in your browser. No API key, no rate limits, no network calls. Generate, copy as JSON, paste into your seed script. For dev workflows without internet, browser-only is simpler.

Each user is a JSON object with 13 fields: fullName, firstName, lastName, email, phone, address, birthday, age, gender, username, occupation, company, website. Export the batch as JSON array or CSV.

Not directly. Copy the JSON, then map fields to your schema in your code. The fields we provide cover the most common user-record patterns.

Yes. Names come from real common-name pools, addresses follow country-specific postal conventions, ages match birthdays. Looks production-grade in mockups.

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