Testing applications without realistic data is like building a house without blueprints. Our Mock Data Generator creates production-quality test data instantly, supporting 16+ data types and multiple export formats.
Why You Need a Mock Data Generator
The Problem with Manual Test Data
Before Mock Data Generator:
- Spending hours creating sample records manually
- Inconsistent data formats across test environments
- Limited variety in test scenarios
- Copy-pasting the same unrealistic data everywhere
After Mock Data Generator:
- Generate 100 records in seconds
- Consistent, realistic data every time
- Diverse test scenarios with random variations
- Production-ready data structures
Result: 10x faster development and more comprehensive testing.
DevToolsLib Mock Data Generator Features
📊 16 Predefined Data Types
Generate realistic data for common use cases:
- User Profiles 👤 - Complete user information with names, emails, avatars
- Products 📦 - E-commerce product data with pricing and inventory
- Companies 🏢 - Business data including revenue and employee count
- Transactions 💳 - Financial transaction records with status tracking
- Blog Posts 📝 - Content management system data
- Books 📚 - Library and bookstore inventory
- Movies 🎬 - Entertainment database records
- Restaurants 🍽️ - Location and review data
- Events 🎫 - Event management information
- Employees 👔 - HR and payroll data
- Orders 🛒 - E-commerce order tracking
- Hotels 🏨 - Hospitality industry data
- Vehicles 🚗 - Automotive inventory
- Recipes 👨🍳 - Cooking and food blog content
- Courses 🎓 - Educational platform data
- Customers 🧑💼 - CRM and customer tracking
🎯 Multiple Output Formats
Export your data in the format you need:
JSON Format - Perfect for APIs and modern applications
{
"id": "usr_1a2b3c4d",
"firstName": "Sarah",
"lastName": "Johnson",
"email": "[email protected]",
"username": "sjohnson",
"avatar": "https://i.pravatar.cc/150?img=5",
"phone": "+1-555-0123",
"address": "742 Evergreen Terrace, Springfield",
"birthday": "1990-03-15",
"bio": "Software engineer passionate about web development"
}
CSV Format - Ideal for spreadsheets and data import
id,firstName,lastName,email,username,avatar,phone,address,birthday,bio
usr_1a2b3c4d,Sarah,Johnson,[email protected],sjohnson,https://i.pravatar.cc/150?img=5,+1-555-0123,"742 Evergreen Terrace, Springfield",1990-03-15,"Software engineer passionate about web development"
SQL Format - Ready for database insertion
INSERT INTO users (id, firstName, lastName, email, username, avatar, phone, address, birthday, bio)
VALUES ('usr_1a2b3c4d', 'Sarah', 'Johnson', '[email protected]', 'sjohnson', 'https://i.pravatar.cc/150?img=5', '+1-555-0123', '742 Evergreen Terrace, Springfield', '1990-03-15', 'Software engineer passionate about web development');
⚙️ Custom Schema Builder
Create your own data structures:
- 10 Field Types: string, number, email, url, date, boolean, uuid, image, paragraph, phone
- Unlimited Fields: Build schemas of any complexity
- Mix & Match: Combine different field types for unique datasets
🚀 Developer-Friendly Features
- 1-100 Records: Generate exactly the amount you need
- Copy to Clipboard: One-click copying of generated data
- Download Files: Export as .json, .csv, or .sql files
- File Statistics: View size and line count
- Instant Generation: No loading times or delays
Common Use Cases
API Development & Testing
Generate realistic user data for API endpoints:
// GET /api/users response
[
{
"id": "usr_a1b2c3",
"firstName": "Emma",
"lastName": "Wilson",
"email": "[email protected]",
"username": "ewilson",
"avatar": "https://i.pravatar.cc/150?img=10"
}
// ... 99 more realistic users
]
Perfect for:
- REST API testing
- GraphQL schema validation
- Mock API responses
- Integration testing
Database Population
Create SQL INSERT statements for database seeding:
-- Populate products table with 50 items
INSERT INTO products (id, name, description, price, category, stock, sku)
VALUES ('prd_001', 'Wireless Headphones', 'Premium noise-canceling headphones', 199.99, 'Electronics', 45, 'SKU-WH-001');
-- ... 49 more products
Use for:
- Development database seeding
- Testing queries and indexes
- Performance testing
- Migration testing
Frontend Development
Mock data for UI components before backend is ready:
// Product listing component
{
"id": "prd_x7y8z9",
"name": "Smart Watch",
"price": 299.99,
"rating": 4.5,
"stock": 23,
"image": "https://via.placeholder.com/400x300",
"category": "Wearables"
}
Ideal for:
- Component development
- UI/UX testing
- Demo applications
- Prototyping
QA & Testing
Generate diverse test scenarios:
// Transaction test cases
{
"id": "txn_abc123",
"amount": 1250.0,
"status": "completed",
"method": "credit_card",
"cardLast4": "4242"
}
Test scenarios:
- Edge cases with extreme values
- Different status combinations
- Large dataset performance
- Data validation rules
How to Use the Mock Data Generator
Quick Start (3 Steps)
-
Select Data Type
- Choose from 16 predefined types
- Or select "Custom Schema" for your own structure
-
Configure Output
- Set number of records (1-100)
- Choose format (JSON, CSV, or SQL)
-
Generate & Export
- Click "Generate Data"
- Copy to clipboard or download file
Creating Custom Schemas
For unique data structures:
- Select "Custom Schema" from data types
- Click "Add Field" button
- Enter field name (e.g., "customerID")
- Select field type (e.g., "uuid")
- Add more fields as needed
- Generate your custom data
Example Custom Schema:
{
"orderID": "ord_xyz789", // uuid
"customerEmail": "[email protected]", // email
"orderDate": "2024-10-22", // date
"totalAmount": 459.99, // number
"isPaid": true, // boolean
"notes": "Express shipping" // string
}
Real-World Examples
E-commerce Application
Generate a complete product catalog:
Configuration:
- Data Type: Product
- Records: 50
- Format: JSON
Use Case:
- Populate product listing pages
- Test search and filter functionality
- Validate shopping cart logic
- Performance test pagination
CRM System
Create customer database:
Configuration:
- Data Type: Customer
- Records: 100
- Format: SQL
Use Case:
- Test customer import workflows
- Validate data relationships
- Test reporting dashboards
- Train sales team with realistic data
Blog Platform
Generate blog content:
Configuration:
- Data Type: Blog Post
- Records: 25
- Format: JSON
Use Case:
- Test content management features
- Validate SEO metadata
- Test comment systems
- Preview layout with real data
Field Types Explained
Basic Types
String - Random text data
"name": "Wireless Mouse"
Number - Numeric values (integers and decimals)
"price": 29.99
Boolean - True/false values
"inStock": true
Formatted Types
Email - Valid email addresses
"email": "[email protected]"
Phone - Formatted phone numbers
"phone": "+1-555-0123"
URL - Valid website URLs
"website": "https://example.com"
Special Types
UUID - Unique identifiers
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890"
Date - ISO formatted dates
"createdAt": "2024-10-22"
Image - Image placeholder URLs
"avatar": "https://i.pravatar.cc/150"
Paragraph - Multi-sentence text blocks
"description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
Best Practices
1. Match Production Data Structure
Always generate data that mirrors your production schema:
- Use same field names
- Match data types exactly
- Include all required fields
- Test with realistic ranges
2. Generate Adequate Volume
Test with appropriate data volumes:
- Development: 10-25 records for quick testing
- QA Testing: 50-100 records for edge cases
- Performance Testing: Maximum records multiple times
3. Use Multiple Formats
Export in different formats for different needs:
- JSON for application testing
- CSV for data analysis
- SQL for database operations
4. Combine with Real Workflows
Integrate mock data into your workflow:
- Use in automated tests
- Seed development databases
- Create demo environments
- Train new team members
Privacy & Performance
Client-Side Generation
- All processing in browser - Zero server requests
- No data uploaded - Complete privacy
- Instant results - No network delays
- Works offline - No internet required
Performance Optimized
- Generate 100 records in milliseconds
- No file size limits for downloads
- Efficient memory usage
- Smooth UI even with large datasets
Why Choose DevToolsLib Mock Data Generator?
Compared to Other Solutions
DevToolsLib Advantages:
- ✅ Free forever - No subscriptions or limits
- ✅ No registration - Use immediately
- ✅ 16+ data types - More variety than competitors
- ✅ 3 export formats - Maximum flexibility
- ✅ Custom schemas - Unlimited customization
- ✅ Privacy-first - All processing client-side
- ✅ Fast generation - Instant results
Other Tools:
- ❌ Limited free tier
- ❌ Registration required
- ❌ Fewer data types
- ❌ Single export format
- ❌ No customization
- ❌ Server-side processing
- ❌ Slow generation
Browser Support
Works flawlessly in all modern browsers:
- Chrome/Edge (recommended for best performance)
- Firefox
- Safari
- Opera
- Brave
- Mobile browsers (iOS/Android)
Common Questions
How realistic is the generated data?
Very realistic! We use sophisticated algorithms to generate:
- Real-sounding names from diverse backgrounds
- Valid email formats
- Properly formatted phone numbers
- Realistic prices and quantities
- Varied but plausible combinations
Can I use this data in production?
No. This tool generates test data only. Never use mock data in production systems. The data is:
- Randomly generated
- Not unique across sessions
- Not verified or validated
- Intended for development/testing only
How many records can I generate?
Currently up to 100 records per generation. Need more?
- Generate multiple times
- Download separate files
- Combine files manually or programmatically
Can I save my custom schemas?
Not yet, but it's on our roadmap! Currently:
- Custom schemas reset when you leave the page
- We recommend documenting your schemas
- Future updates will include schema saving
Get Started Today
Stop wasting time on manual test data creation. Generate realistic, production-quality mock data in seconds.
Related Tools
- Color Palette Generator - Extract colors from your images
- Image Format Converter - Convert images between PNG, JPG, WEBP, and more
- JSON Formatter - Format API responses with image URLs
About DevToolsLib
DevToolsLib creates professional, privacy-focused developer tools that work offline and never store your data. Trusted by developers worldwide for testing, development, and productivity.
Keywords: mock data generator, test data generator, fake data generator, random data generator, sample data generator, JSON generator, CSV generator, SQL generator, database test data, API test data, mock API data, fake user generator, dummy data generator, development tools, testing tools