Random Data Generator

What is Random Data Generation?

When developing applications, you often need realistic test data to fill databases, test APIs, or demonstrate UI behavior. Manually creating this data is time‑consuming. This tool generates random but plausible mock data in popular formats: JSON, CSV, and SQL INSERT statements.

You can choose the number of records and which fields to include (ID, name, email, age, active). The data is generated client‑side using JavaScript, ensuring privacy and speed.

It's perfect for prototyping, database seeding, unit testing, and load testing scenarios.

How to Use

Step 1: Select the output format (JSON, CSV, or SQL).
Step 2: Choose the number of records (up to 100).
Step 3: Select which fields to include in the generated data.
Step 4: Click "Generate". The data will appear in the output area.
Step 5: Copy the output using the "Copy Output" button.

For SQL, the table name is "users". You can edit it manually if needed. Age is a random number between 18 and 80; active is a random boolean.

Examples

JSON (5 records, all fields):

[{"id":1,"name":"John Doe","email":"john@example.com","age":42,"active":true}, ...]

CSV:

id,name,email,age,active\n1,John Doe,john@example.com,42,true\n...

SQL:

INSERT INTO users (id,name,email,age,active) VALUES (1,'John Doe','john@example.com',42,true);

Who Uses Random Data Generators?

• Developers – seeding databases, testing APIs.
• QA Engineers – generating test cases.
• Data Scientists – creating dummy datasets for models.
• UI/UX Designers – populating prototypes with realistic content.
• Trainers – demonstrating software features with sample data.

Pro Tips

• Use JSON format for modern APIs and JavaScript apps.
• Use CSV to import into spreadsheets or databases.
• SQL format is directly runnable in MySQL, PostgreSQL, SQLite (adjust syntax if needed).
• You can generate multiple times to get different random values.
• For larger datasets, generate in batches and concatenate.

Frequently Asked Questions