Mock Data Generator
Generate realistic fake data as JSON, CSV, SQL or XML for testing and demos.
Fields
Continue your work
- Fake Identity Generator — Generate full fake profiles by country.
- JSON Formatter & Validator — Format and validate the generated JSON.
Rate this tool
0.0
0 ratings
- 5 stars 0
- 4 stars 0
- 3 stars 0
- 2 stars 0
- 1 star 0
Share this tool
Found it useful? Send it to a friend or teammate.
Report an issue
Something broken or not quite right? Tell us and we will look into it.
Clear instructions
Find steps, examples and limitations below.
Use online
Open the tool in a supported web browser.
Free to use
No sign-up required. Tool-specific limits may apply.
How to use the Mock Data Generator
The mock data generator creates realistic fake records for testing apps, seeding databases and building demos. Add fields and pick types such as names, emails, phone numbers, addresses, companies, prices, UUIDs, dates, booleans and text, then generate up to 1,000 rows and export them as JSON, CSV, SQL INSERT statements or XML.
- 1 Add fields, give each a name and choose its data type.
- 2 Set the number of rows and choose JSON, CSV, SQL or XML (with a table name for SQL).
- 3 Click Generate data, then copy or download the result.
Example and practical tips
Fields id, first_name, email and signup_date with 100 rows and SQL format give 100 INSERT statements to seed a users table, with each email matching the person's name.
Frequently asked questions
Is the generated data real?
No. It is random and fictional. Emails use reserved example domains, phone numbers use the 555 test range and web addresses use the .example domain.
Can I use it for load testing?
Yes, for up to 1,000 rows per run. For larger datasets, generate several times or use the data as a template.
Does it follow my database types?
Numbers and booleans are unquoted and strings are escaped for SQL, but check the column types in your schema.