Define your schema
One field per line, as name:type or name:type:min-max for numbers.
SYNTHETIC TEST DATA
Mock Data Generator
Generate realistic synthetic test data as JSON from a field schema you define, following simple type and constraint rules.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Pick a row count
Generate anywhere from 1 to 50 rows in one pass.
Copy the generated JSON
Use it directly in test fixtures, seed scripts, or manual testing.
Continue learning: Testing with realistic data
Frequently asked questions
What field types are supported?
string, number (with optional min-max range), boolean, email, date, name, and id — unrecognized types fall back to a simple placeholder string.
Is the generated data safe to use anywhere?
It's synthetic and safe for any non-production test environment. It's not meant for production seeding of real accounts.
Can I control the distribution of values?
Only loosely, via numeric ranges — this is a simple generator for quick test fixtures, not a full statistical data-modeling tool.
Why does the result score change with more fields?
The score is just a rough completeness indicator of the schema you defined, not a data-quality measurement — it's there to be transparent about what happened, not to grade you.
How We Compare
| Feature | MVPHub | Faker.js | Mockaroo |
|---|---|---|---|
| Instant, no-install generation | Included | Not included | Included |
| Simple line-based schema | Included | Not included | Limited |
| No account required | Included | Included | Not included |
| Zero-friction — no config or sign-up before generating | Included | Not included | Not included |
Faker.js and Mockaroo generate large, highly configurable datasets programmatically or via account-based export. This tool is for a quick, in-browser batch of test data without installing a library or signing up.
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