Free Mock Data Generator
Generate fake JSON or CSV test data.
What is the Mock Data Generator?
Building a table, a list view, or an import feature always hits the same wall: you need data to see it work, and typing out fake rows by hand is tedious and unrealistic. Worse, grabbing real customer data for testing is a privacy risk you don't need.
This mock data generator produces realistic-looking but entirely fictional records as JSON or CSV, so you can populate and test anything in seconds.
Last updated: Aug 13, 2026
What does this tool do?
You pick the fields you want, how many rows, and a format, and the tool generates random records from built-in name, city and company data.
It outputs clean JSON or CSV you can copy or download, ready to drop into a database seed, an import test or a UI mockup.
Key features
Choose your fields
id, name, email, city, date and more.
JSON or CSV
Export in the format you need.
Up to 500 rows
Enough for realistic testing.
Copy or download
Grab the data instantly.
Private & fake
Fictional data, generated in-browser.
Example
Common use cases
- Frontend developers — Populate tables and lists while building.
- Backend developers — Seed a database for local testing.
- QA engineers — Create test fixtures quickly.
- Designers — Fill mockups with realistic content.
- Data engineers — Test import and ETL pipelines.
- Educators — Provide sample datasets to students.
- Prototypers — Demo a feature with believable data.
- Anyone needing test data — Skip inventing rows by hand.
Benefits
- It creates realistic data without the busywork.
- It avoids using real personal data in tests.
- It exports in the format your tools expect.
- It runs locally, so nothing leaves your browser.
Tips
- Match the fields to your real schema for the most useful data.
- Use JSON for API/database seeds and CSV for spreadsheets or imports.
- Generate a large set to test pagination and performance.
- Never mix this fake data into production databases.
- Regenerate to get a fresh random set any time.
- Add an id field when you need stable keys.
- Download CSV to open directly in a spreadsheet.
- Combine with the JSON to TypeScript tool to type the output.
Common mistakes to avoid
Using real data for tests
Fix: Generate fictional data instead to avoid privacy and compliance risks.
Too little data to test edge cases
Fix: Generate enough rows to exercise pagination, sorting and scrolling.
Fields that don't match your schema
Fix: Pick fields that mirror your real columns so tests are meaningful.
Seeding production with mock data
Fix: Keep generated data strictly in development and test environments.
How it works
- 1
Pick fields
Select the columns you need.
- 2
Set rows & format
Choose how many and JSON or CSV.
- 3
Generate & export
Copy or download the data.
Frequently asked questions
Choose from id (UUID), name, email, phone, city, country, company, job title, date, age and a boolean — output as JSON or CSV.
No. Everything is randomly generated and fictional, ideal for tests and demos without using real personal data.
id (UUID), name, email, phone, city, country, company, job title, date, age and a boolean — output as JSON or CSV.
No. Everything is randomly generated and fictional, so it's safe to use without touching real personal data.
Up to 500 per run, which covers most testing and demo needs.
Yes — copy to the clipboard or download as a JSON or CSV file.
No. They're plausible-looking but fictional and shouldn't be contacted.
No. Data is generated entirely in your browser.
Conclusion
A mock data generator fills your app with realistic, privacy-safe test data in seconds. Pair it with the JSON to TypeScript and CSV to Markdown tools to type or present the data you generate.