Mock Data Generator
Generate realistic test data instantly
Create user, product, and order datasets in JSON or CSV.
TL;DR
Pick a type and format, set count, click Generate.
No output
Key Features
Instant generation
Create up to 100 records with one click.
Built-in templates
User, Product, and Order models included.
Export JSON & CSV
Copy or download structured results.
Client-side only
No data leaves your browser.
Realistic random data
Names, prices, dates, and IDs.
Dark mode friendly
Clean UI in light and dark themes.
How to Use
Generate mock data in three simple steps
Select Data Type and Set Parameters
First, choose the data template you need from the dropdown menu, such as 'User', 'Product', or 'Order'. Then, enter the number of records to generate (1-100) and select the output format (JSON or CSV). For example, if you're using the tool in a Laravel project, you can easily generate random date fields like 'laravel faker generator random date' to simulate user registration times or order creation dates. This step ensures the data meets your testing requirements and avoids writing complex scripts manually.
Click Generate and Preview Results
Press the 'Generate' button, and the tool will instantly compute and display the output preview in the browser. The output uses a monospace font for easy reading. If you generate product data, you may see structured fields similar to a 'generator data plate' style, such as ID, name, and stock—random yet realistic. Check if the preview meets your needs; if adjustments are needed, you can reset and regenerate at any time.
Copy or Download Data
After successful generation, click 'Copy' to save the results to your clipboard, or 'Download' to save as a file. This is suitable for various scenarios, such as data center maintenance testing where 'data center generator maintenance' involves bulk importing CSV into databases for load simulation. The tool ensures CSV format compatibility with Excel, avoiding escape issues.
Use Cases
Practical scenarios where Data Generator helps
Mock Data Simulation in Front-End Development
A front-end developer needs to generate random user data for Storybook components but manually writing JSON is time-consuming. Using Data Generator, select the 'User' template, set count to 10, output JSON. The tool automatically generates records with random dates, similar to 'random date idea generator' creative output, but focused on test data. This helps developers quickly iterate components, saving 50% of time and ensuring data diversity.
Key Benefits
- ✓Faster component iteration
- ✓50% time savings
- ✓Diverse data generation
Batch Data Validation for Test Engineers
In a QA team, simulating order flows is needed to validate backend logic. Engineers select the 'Order' template, generate 50 CSV records including random product IDs and totals. Similar to 'ai bio data generator for marriage' personalized generation, the tool creates order datasets with user IDs and statuses. After importing to the database, boundary errors are successfully identified, improving test coverage by 30%.
Key Benefits
- ✓Identifies boundary errors
- ✓30% test coverage improvement
- ✓Batch validation support
Report Prototype Building for Data Analysts
Analysts need sample product datasets for demonstration reports. Using the tool to generate 'Product' data with tag arrays and price ranges. Similar to 'drok signal generator data sheet pdf' technical spec generation, this case outputs structured CSV, easily imported into Tableau. Benefits include rapid prototype validation and data visualization optimization, reducing manual data collection time.
Key Benefits
- ✓Quick prototype validation
- ✓Easy visualization import
- ✓Reduced manual effort
Frequently Asked Questions
Roadmap
Planned improvements and status
| Priority | Feature | Description | Status |
|---|---|---|---|
| High | Custom field editor | Define fields, ranges, and patterns. | Planned |
| Medium | SQL export | Generate INSERT statements. | Under consideration |
| Low | More templates | Add address and transaction data. | Future |