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Fake Data Generator

Generate fake users, addresses, and more.

beats fakerjs.dev edge: JSON + CSV + SQL output forms
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Guide

About Fake Data Generator

Generate realistic-looking fake users, addresses, phone numbers, companies, dates, and lorem text. Pick count (1 to 1000) and output format — JSON, CSV, or SQL inserts. Useful for seeding development databases, populating UI mocks, and stress-testing forms without real PII.

Why fake data matters

Real production data is the worst test data:

  • It has PII you should not be reading.
  • It does not cover the edge cases (long names, unusual scripts, missing fields).
  • It changes on you, so tests become flaky.

Fake data — generated, deterministic-on-seed, edge-case-rich — is what every serious test environment uses. This tool gives you that data without setting up a Faker library.

Output formats

  • JSON — array of objects, ready for fixture files
  • CSV — for spreadsheets and bulk import
  • SQL inserts — drop straight into a dev DB

Common workflows

Seed a dev database. Generate 500 users as SQL, 1000 orders, 5000 events. Run the inserts. Now your local environment has realistic data without a production dump.

Populate a Storybook story. Generate 20 user objects as JSON, paste into your fixture file.

Stress-test a form. Generate 100 names of varying lengths (5 to 40 chars) and confirm your UI handles all of them without truncating mid-word.

Demo recordings without real data. Replace your screen-recording’s real users with fake ones. No NDA concerns.

Why local

Fake data tools that fetch from a remote API have a different problem — they leak the SHAPE of data you wanted to fake, which can reveal what kind of system you are building. Fully local generation skips that. Pick the fields, click generate, never log anything.

Frequently asked questions

Is the data based on real people?
No — every value is generated from word pools and patterns. Names are common-name combinations, addresses are valid-form but not real-place, phones are valid format but not assigned numbers.
Can I export as SQL?
Yes. Pick SQL output, set the table name and column order, copy the INSERT INTO statements. Run them against your dev DB.
What fields are supported?
Name, email, phone, address (street, city, state/region, zip, country), company, job title, lorem ipsum text, dates, ISO currency, IP address, user-agent, MAC address, full Faker.js coverage.
Are values deterministic?
No — each click produces fresh random values. For reproducible test data, use a Faker library in code with a fixed seed.
How locale-aware is it?
We support en, de, fr, es, it, pt, ja locales. Each generates names, addresses, and phone numbers appropriate for the locale.
Is this real PII?
No. Use freely in screenshots, demos, public docs. The generated values look real but match no actual person.

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Last updated: 2025-01-15