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Test Data Generator — Generate Fake User, Invoice, Banking & API Log Test Data from JSON Schema Online Free

Create realistic test data for development, testing, and demos — 11 templates or custom JSON Schema, up to 50 records, 100% browser-based

100% in-browserNo signupFree forever

Test Data Generator

Generate realistic test data for your applications. Choose from predefined data templates or create custom data using JSON Schema.

Up to 100 records for predefined templates

Example Schema:

{
  "type": "object",
  "properties": {
    "name": {"type": "string"},
    "age": {"type": "number"},
    "email": {"type": "string"},
    "active": {"type": "boolean"}
  }
}

What Is a Test Data Generator?

A test data generator creates realistic synthetic data — names, email addresses, phone numbers, addresses, UUIDs, and more — that developers use instead of copying real production records. Fake data lets you build features, run tests, seed databases, and demo products without touching real user information or violating privacy regulations.

Fake data vs real data: Real data carries privacy risk, GDPR obligations, and potential exposure. Synthetic test data is structurally identical but contains no real personal information — safe to commit, share, and use in any environment. A good generator produces data that looks real (valid email formats, plausible names, realistic address patterns) so your UI and logic behave exactly as they would in production.

How it works

Generate Test Data in Seconds

01

Select fields or template

Pick one of 11 built-in templates (users, invoices, banking, API logs…) or paste your own JSON Schema.

02

Set quantity

Choose how many records you need — from 1 up to 50 — with a single slider.

03

Pick format

Select JSON for nested objects or CSV for spreadsheets and database imports.

04

Export or copy

Copy to clipboard or download — ready to paste into your tests, seed scripts, or mock APIs.

Use cases

When Developers Need Test Data

🧪

Unit & Integration Testing

Create deterministic fixtures for Jest, Vitest, or pytest without hardcoding brittle values.

🗄️

Database Seeding

Populate dev and staging databases with realistic rows so pagination, search, and filters behave realistically.

🖼️

UI Prototypes

Feed Storybook, Figma dev mode, or staging apps with real-looking data before the backend exists.

Load & Performance Testing

Generate bulk JSON payloads to simulate traffic spikes and measure throughput without production data.

🎪

Demo Environments

Populate client demos and screenshots with plausible names and transactions — no real user data risk.

📡

API Contract Testing

Build request and response payloads that match your OpenAPI schema to validate consumer-driven contracts.

Supported Data Types

TypeExample output
NameEmily Thornton, Carlos Vega
Emailemily.thornton@example.com
Phone+1 (415) 555-0182
Address742 Evergreen Terrace, Springfield, IL 62701
UUID7f3c8b2e-4a1d-4f9e-b6c0-1e2d3a4b5c6f
Date / Time2024-03-14T09:26:00Z
Number4821, 3.14, -99
Boolean / Statustrue, "active", "pending"
FAQ

Frequently Asked Questions

1Is the generated data GDPR compliant?
Yes. Every record is entirely synthetic — no real names, emails, or personal identifiers. Because no actual personal data is involved, GDPR and equivalent privacy regulations do not apply. Safe for demos, staging, and public repos.
2How realistic is the generated data?
Very realistic. Names follow natural first/last patterns, emails use valid formats, phone numbers match country patterns, and addresses use real city/state/ZIP combinations. The goal is data that passes real validation logic.
3What export formats are supported?
JSON and CSV. JSON supports nested objects and arrays, making it ideal for API testing and ORMs. CSV works directly with spreadsheets, SQL COPY statements, and most database import tools.
4Can I generate hundreds of records at once?
Up to 50 records per run in the browser tool. For larger volumes, use the Custom JSON Schema option with a script that calls a library like Faker.js or generate multiple batches and combine them.
5Can I define my own schema?
Yes. Select the Custom Schema option, paste any valid JSON Schema, and the tool generates data that matches your exact property names, types, and nested structures — without writing code.
6What is test data generation?
Test data generation is the process of creating synthetic, realistic data — names, emails, addresses, UUIDs — that mimics real production data without exposing actual user information. It is used to seed databases, build test fixtures, and populate prototypes safely.
7How do I generate realistic test data?
Select a template (users, invoices, banking, API logs), set the record count, and export as JSON or CSV. For code-based generation, libraries like Faker.js (JavaScript), Faker (Python), or Bogus (C#) produce locale-aware realistic data programmatically.
8Can I generate test data from a JSON schema?
Yes. The Custom Schema option accepts any valid JSON Schema and generates data matching your exact property names, types, and nested structures — without writing any code. Tools like json-schema-faker support this programmatically too.
9How do I generate bulk test data?
The browser tool supports up to 50 records per run. For larger volumes, use Faker.js in Node.js, Faker in Python, or generate multiple batches here and concatenate the JSON arrays or CSV rows.
10How do I seed a database with test data?
Export as CSV and use your database import tool (e.g., psql COPY, MySQL LOAD DATA), or use JSON with ORM seed scripts like Prisma seed, Sequelize seeders, or Laravel database factories.
11How do I generate locale-specific test data?
For locale-specific data (Japanese names, German addresses), use Faker.js with faker.locale = "de" or Python Faker with Faker("ja_JP"). The browser tool currently generates English-locale data.
12How do I export test data to CSV or Excel?
Select CSV as the output format before clicking Generate. The downloaded CSV file opens directly in Excel or Google Sheets. For JSON output, use a JSON-to-CSV converter before importing into a spreadsheet.
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