Mock Data Generator
Generate realistic fake JSON data for testing and prototyping
Fields to include:
Generated Data
Generate realistic test data without writing fixtures
Hand-written fixtures get stale, repeat themselves, and never cover the edge cases that show up in production. Generating mock data from a schema produces dozens or hundreds of realistic records — names, emails, dates, prices, addresses — so you can prototype UI, load-test endpoints, and seed local databases without touching real customer data.
Use the generator when you need to
Seed a local database for development
Generate hundreds of users, orders, or products and import them once instead of typing fixtures by hand.
Build UI before the backend is ready
Mock the API response shape so your frontend can iterate on layouts, empty states, and edge cases.
Load-test or stress-test an endpoint
Generate large payloads to validate pagination, sorting, and rendering under realistic data volumes.
How to generate mock data
- 1
Define field names and pick types (name, email, address, date, etc.) in the schema builder.
- 2
Set the number of records you want.
- 3
Click Generate and copy or download the resulting JSON array.
Keep going
Generate a schema from real data
Lift the schema from a sample response and use it to drive mock generation.
Type the mock data
Generate TypeScript interfaces for the mock structure so your code stays type-safe.
Export mock data as CSV
Convert generated records to CSV for use in spreadsheets or bulk imports.
Format the output
Beautify generated arrays before pasting into fixtures.
Common mock data workflows
Generate 200 user records to validate how the table behaves with realistic names and emails.
Seed a fresh database with believable data for a sales demo without touching production.
Generate edge-case data (empty strings, very long names, far-future dates) to surface a bug consistently.
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JSON to CSV
Convert JSON arrays to CSV format for spreadsheets
Frequently Asked Questions
Define your data structure using the schema builder — choose field names and types (name, email, address, number, date, etc.) and set the number of records. Click Generate to create realistic-looking test data instantly.
The generator supports names, emails, phone numbers, addresses, company names, job titles, dates, UUIDs, URLs, IP addresses, colors, product names, prices, and lorem ipsum text — over 50 data types using the Faker.js library.
Absolutely. The mock data is designed for development and testing. Use it to populate databases, test API endpoints, fill UI components, or create demo environments. The data is realistic but entirely fictional.
You can generate up to several thousand records at once. The tool runs in your browser, so performance depends on your device. For typical use cases (10-500 records), generation is instant.