Names, emails, addresses, phones, company names, job titles, dates, booleans. Plus random primitives: numbers, strings, UUIDs. Mix for realistic user records.

Both, plus SQL INSERT statements. Pick a schema (columns and types), generate N rows, export in your target format.

Is the data internationally consistent?

Addresses and phones match the chosen locale. Names draw from a global pool (unless you select a specific locale). Emails use realistic domain patterns.

Can I seed reproducibly?

Yes — supply a seed to get the same data every run. Useful for CI tests where you need deterministic fixtures.

Mock Data Generator | DevTools Surf

DevTools Surf

Example: Mock Data Generator

A worked example, rendered from real sample data. Sign in to run the tool on your own input.

Input

Output

[
  {
    "id": 1,
    "firstName": "Mia",
    "lastName": "Miller",
    "email": "lucas.jones78@example.com",
    "phone": "+1-701-935-9383",
    "city": "Austin",
    "createdAt": "2023-06-08T13:10:20.529Z"
  },
  {
    "id": 2,
    "firstName": "Lucas",
    "lastName": "Brown",
    "email": "mason.brown60@example.com",
    "phone": "+1-424-296-8951",
    "city": "Denver",
    "createdAt": "2024-01-30T18:29:05.733Z"
  },
  {
    "id": 3,
    "firstName": "Sophia",
    "lastName": "Brown",
    "email": "emma.johnson58@example.com",
    "phone": "+1-868-591-9773",
    "city": "Austin",
    "createdAt": "2022-04-23T01:15:06.209Z"
  },
  {
    "id": 4,
    "firstName": "Mason",
    "lastName": "Williams",
    "email": "lucas.davis43@example.com",
    "phone": "+1-763-842-9933",
    "city": "Chicago",
    "createdAt": "2026-06-20T15:45:52.459Z"
  },
  {
    "id": 5,
    "firstName": "Ava",
    "lastName": "Smith",
    "email": "liam.taylor2@example.com",
    "phone": "+1-350-240-4254",
    "city": "Portland",
    "createdAt": "2026-01-25T02:24:52.319Z"
  },
  {
    "id": 6,
    "firstName": "Liam",
    "lastName": "Smith",
    "email": "liam.taylor64@example.com",
    "phone": "+1-200-709-2049",
    "city": "Chicago",
    "createdAt": "2022-05-06T16:40:31.410Z"
  },
  {
    "id": 7,
    "firstName": "Emma",
    "lastName": "Brown",
    "email": "isabella.johnson7@example.com",
    "phone": "+1-258-868-6418",
    "city": "Chicago",
    "createdAt": "2024-04-18T04:51:36.187Z"
  },
  {
    "id": 8,
    "firstName": "Noah",
    "lastName": "Garcia",
    "email": "isabella.williams
…

About Mock Data Generator

Mock Data Generator preview - Generators tool

Generate fake names, emails, addresses, and more in JSON or CSV. Part of the DevTools Surf developer suite. Browse more tools in the Generators collection.

Use Cases

Seed a dev database with realistic test data
Populate Storybook/UI mocks without committing real PII
Generate CSV fixtures for unit tests
Create demo datasets for sales calls without exposing real customers

Tips

Build your schema by clicking field type chips
Rename columns by editing the field names
Export as JSON, CSV, or SQL INSERT statements

Fun Facts

The 'faker' libraries used to generate test data contain dictionaries of ~4,500 first names, ~2,000 last names, and ~500 company names.
The original faker.js library was deleted by its creator Marak Squires in January 2022 in protest over open-source funding — the community forked it as @faker-js/faker.
Synthetic data generation is now a $1.5 billion industry. Companies use it not just for testing but to train ML models when real data has privacy constraints.

FAQ

What data types?: Names, emails, addresses, phones, company names, job titles, dates, booleans. Plus random primitives: numbers, strings, UUIDs. Mix for realistic user records.
CSV or JSON output?: Both, plus SQL INSERT statements. Pick a schema (columns and types), generate N rows, export in your target format.
Is the data internationally consistent?: Addresses and phones match the chosen locale. Names draw from a global pool (unless you select a specific locale). Emails use realistic domain patterns.
Can I seed reproducibly?: Yes — supply a seed to get the same data every run. Useful for CI tests where you need deterministic fixtures.

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