Fake User Generator

Runs in browser Test Data

Create user objects with consistent usernames and emails derived from the name, optional Arabic/Hindi names, roles and statuses. All generated values are synthetic TEST DATA ONLY and do not belong to real people.

TEST DATA ONLY — all generated names, contacts, identifiers and numbers are synthetic and do not belong to real people or accounts.
Privacy: This tool runs entirely in your browser. Your input never leaves your device.

Why generate fake users and companies instead of using real ones?

Because a test environment full of real customers is a copy of personal data with none of the controls production has — every tester, contractor and screenshot can expose it, and under the Saudi Personal Data Protection Law such a copy is processing that needs a legal basis. Generated people and companies give the same shape — names in the right script, emails, phone numbers, addresses, registration numbers — plus what real data lacks: the long names, apostrophes, diacritics and empty optional fields that break forms and reports.

How to use Fake User Generator

  1. Choose how many users you need (1–1000), the locale and optionally a phone country.
  2. Decide whether to include password and timestamp fields.
  3. Pick the output format and press Generate.
  4. Copy the dataset or download it with the right extension for your seeding script.

Fake User Generator features

  • Complete user objects: id, UUID, names, gender, username, email, password, avatar seed, role, status, phone, birth date and timestamps
  • Usernames and emails derived from the generated name so records are internally consistent
  • Arabic and Hindi names with Latin transliteration for usernames
  • Country-aware mobile numbers in E.164 (default follows the locale)
  • Toggle password and timestamp fields on or off
  • Weighted statuses (mostly active, some invited/suspended/inactive) for realistic filters
  • Reproducible with a seed; JSON, CSV, SQL, XML, JSON Lines or text table output

Fake User Generator example

Three Arabic users as JSON

Input:

Users: 3 · Locale: Arabic · Format: JSON · Seed: users-demo

Output:

[
  {
    "id": 1,
    "uuid": "3953b147-4aa6-45cd-a9b8-d11b57d5ef56",
    "firstName": "نايف",
    "lastName": "الثبيتي",
    "fullName": "نايف طارق الثبيتي",
    "username": "nayefalthubaiti819",
    "email": "nayefalthubaiti819@example.com",
    "role": "editor",
    "status": "active",
    "phone": "+966508370878",
    …
  }
]

Frequently asked questions about Fake User Generator

How are usernames and emails derived?

Both come from the generated name, joined by a dot, an underscore, a hyphen or nothing (first.last, first_last, first-last, firstlast) and sometimes followed by digits, so every record is internally consistent. Emails always use reserved domains such as example.com.

Can I generate Arabic or Hindi users?

Yes — pick the locale. Names are produced in Arabic or Devanagari script while usernames and emails use a Latin transliteration, mirroring real bilingual systems.

Are the passwords safe to use?

They are random 12-character strings that satisfy typical complexity rules, intended only for seeding test accounts. Never reuse them for real logins.

What do the role and status fields contain?

Roles cycle through admin, editor, viewer, member, moderator and support; statuses are weighted towards active with some invited, suspended and inactive users so filters and permissions can be tested.

Technical notes

Passwords contain at least one lowercase letter, one uppercase letter, one digit and one symbol and avoid ambiguous characters. Creation dates fall within the last three years and last-login dates always come after creation, so time-based queries behave sensibly.

References