Test Data Generator
Create realistic mock data in seconds
Generate random User, Product, and Order datasets in JSON, CSV, SQL, YAML or C++ for API testing, database seeding, QA validation, and rapid prototypes.
Configuration
Generated data will appear here...
TL;DR
Pick a template, set 1–100 records, choose format (JSON, CSV, SQL, YAML, or C++), then generate. Copy or download the result.
Key features
Instant generation
Create 1–100 records in under a second with client-side processing.
Ready-to-use templates
Generate User, Product, and Order data with practical, consistent fields.
JSON & CSV export
Use pretty-printed JSON, CSV, SQL, YAML or C++ code with correct syntax and escaping.
Privacy-first
All data is generated in your browser — nothing is uploaded or stored.
Copy & download
Copy results to clipboard or download as a file with a timestamp.
Theme friendly
Readable output and UI in both light and dark mode.
How to use
Generate mock data in three simple steps
Choose a template and configure parameters
Select User, Product, or Order. Set the number of records (1–100) and choose your preferred format (JSON, CSV, SQL, YAML, or C++). This helps you generate random test data for various environments without writing scripts.
Generate and preview instantly
Click Generate to create data in the browser. Preview the output in a monospace panel to verify fields and formats before you export.
Copy or download
Copy mock data to clipboard for quick use in tests, or download JSON/CSV/SQL/YAML/C++ files to import into your development tools or databases.
Case studies
Real scenarios for developers, QA, and analysts
Frontend development with mock API data
A frontend team needs mock API data before the backend is ready. They generate 20 User records as JSON and plug them into Storybook and unit tests to speed up UI iteration and catch edge cases early.
Key benefits
- ✓Faster UI iteration without backend dependencies
- ✓More diverse fixtures for component testing
- ✓Less time spent hand-crafting JSON
Quality assurance with bulk order data
A QA team generates 50 Order records as CSV to validate status transitions and totals. Importing the dataset into a staging database helps find boundary issues and improves test coverage.
Key benefits
- ✓Batch validation for complex flows
- ✓Easier database import via CSV
- ✓Higher coverage for edge cases
Analytics prototypes with sample datasets
A data analyst needs privacy-safe sample Product data for a dashboard demo. They generate 30 Product rows as CSV, import into Tableau, and iterate on visualizations quickly without using real customer data.
Key benefits
- ✓Privacy-safe demo datasets
- ✓Faster prototyping for reports
- ✓Smooth import into visualization tools