What is the CSV Mock Data Generator?
The CSV Mock Data Generator creates realistic CSV test data from a JSON Schema or template definition. Powered by Faker.js, it generates RFC 4180-compliant CSV output with proper escaping — no backend, no signup.
Features
- Two input modes: JSON Schema (Draft 07+) or Template / Hint mode with
{{faker.*}}directives - Smart type inference: Empty or null values are automatically filled based on property key names
- RFC 4180 compliant CSV: Proper comma escaping, quote wrapping, and newline handling
- Deterministic seeding: Same input + seed = identical output every time
- Multi-locale support: 26+ locales for localized data
- Bulk generation: Generate thousands of rows
- Copy & download: One-click copy to clipboard or download as .csv
Use Cases
- Database seeding: Import CSV directly into PostgreSQL, MySQL, or SQLite
- Spreadsheet testing: Populate Excel or Google Sheets with realistic data
- Data pipeline testing: Feed CSV into ETL processes and data workflows
- Load testing: Generate bulk CSV data for performance benchmarks
- Demo environments: Quick CSV datasets for presentations
How It Works
Write a JSON Schema or a template object. The engine generates JSON internally using Faker.js, then converts it to CSV with a header row and comma-separated values. Nested objects are JSON-stringified per cell.
Frequently Asked Questions
Is my data sent to a server?
No. All generation happens in your browser. Your data never leaves your computer.
How are nested objects handled in CSV?
Nested objects and arrays are serialized as JSON strings inside the CSV cell. For flat data structures, each top-level key becomes a column.
What CSV format is used?
RFC 4180. Values containing commas, quotes, or newlines are wrapped in double quotes. Quotes inside values are escaped with "".
How many rows can I generate?
Up to 10,000 rows per request.