7 Best Fake Data Generators for Developers 2026

DevKits Fake Data Generator Pro

★★★★★ 5/5

$9 one-time payment (lifetime access)

Key Features:

• Generate data in JSON, CSV, SQL, and XML formats
• 100+ field types: names, emails, addresses, phone numbers, dates, prices, and more
• Custom field definitions with regex validation
• Relational data generation (foreign keys, linked records)
• Generate 1 to 100,000+ records in seconds
• Offline-capable PWA - all generation happens in browser
• Export directly to clipboard or download files

Example Output (JSON):

[
  {
    "id": "usr_8f3a2b1c",
    "name": "Marcus Chen",
    "email": "[email protected]",
    "phone": "+1-555-0142",
    "address": {
      "street": "742 Evergreen Terrace",
      "city": "Springfield",
      "state": "IL",
      "zip": "62701",
      "country": "United States"
    },
    "company": "Acme Industries",
    "created_at": "2025-08-14T03:22:18Z"
  },
  {
    "id": "usr_2c9d4e5f",
    "name": "Sofia Andersson",
    "email": "[email protected]",
    "phone": "+46-8-555-0199",
    "address": {
      "street": "Kungsgatan 42",
      "city": "Stockholm",
      "state": "Stockholm",
      "zip": "11156",
      "country": "Sweden"
    },
    "company": "Nordic Tech AB",
    "created_at": "2025-09-23T14:45:33Z"
  }
]

Faker.js (JavaScript Library)

★★★★★ 4.8/5

Free (Open Source)

Key Features:

• Most popular JavaScript fake data library (12k+ stars on GitHub)
• 200+ generators for names, addresses, finance, images, and more
• Locale support for 40+ countries
• Integrates directly into test suites (Jest, Mocha, Vitest)
• TypeScript type definitions included

Example Usage:

import { faker } from '@faker-js/faker';

// Generate a user object
const user = {
  id: faker.string.uuid(),
  name: faker.person.fullName(),
  email: faker.internet.email(),
  phone: faker.phone.number(),
  address: {
    street: faker.location.streetAddress(),
    city: faker.location.city(),
    zipCode: faker.location.zipCode(),
    country: faker.location.country()
  },
  company: faker.company.name(),
  createdAt: faker.date.past()
};

// Generate 100 records
const users = Array.from({ length: 100 }, () => user);

Mockaroo

★★★★☆ 4.5/5

Free (1000 rows) / $10/month (unlimited)

Key Features:

• Web-based, no installation required
• 100+ field types including custom formulas
• Export to JSON, CSV, SQL, Excel
• Save and share schemas via URL
• API access for automation

Example Schema:

name: First Name
email: Email Address
phone: Phone Number
birthdate: Date (1970-2005)
avatar: Image URL (people)
credit_card: Credit Card Number

Faker for Python

★★★★☆ 4.3/5

Free (Open Source)

Key Features:

• Python's most popular fake data library
• 100+ providers for different data types
• Custom provider support
• Locale support for 30+ countries
• Django and Flask integration

Example Usage:

from faker import Faker
import json

fake = Faker()

users = [
    {
        'id': fake.uuid4(),
        'name': fake.name(),
        'email': fake.email(),
        'phone': fake.phone_number(),
        'address': fake.address(),
        'company': fake.company(),
        'created_at': fake.iso8601()
    }
    for _ in range(100)
]

print(json.dumps(users, indent=2))

Generatedata.com

★★★☆☆ 3.8/5

Free

Key Features:

• Simple web interface
• Export to JSON, CSV, XML, Excel, SQL
• No registration required
• Basic data types (names, emails, dates)

Boredhumans Fake Data Generator

★★★☆☆ 3.5/5

Free

Key Features:

• AI-powered for more realistic data
• Contextual consistency (names match cities, etc.)
• JSON and CSV output

Fake 数据生成器 (Chinese)

★★★☆☆ 3.2/5

Free

Key Features:

• Chinese language interface
• Supports Chinese names and addresses
• JSON and CSV output