Orchestrating Realistic Test Data
Static dummy data yields weak testing. NexsaConvert's Pro Data Generator allows you to architect sophisticated, stratified datasets that mimic real-world entropy, helping you identify edge cases in your application logic before reaching production.
Probabilistic Schema Design
Our generator uses pseudo-random number generators (PRNG) with customizable distribution curves. Whether you need sequential IDs, unique UUIDs, or localized PII data that passes validation benchmarks, our tool provides the parameters to build production-grade mock environments.
Generator Specs
Mock Data FAQs
How many records can I generate?
You can generate up to 1,000 records per click. This threshold is set to ensure your browser remains responsive while the stream-based generator builds your dataset in memory.
Are the names and emails real?
No. All data is synthetically generated using common linguistic patterns and localized dictionaries. It looks real for UI testing but contains no actual user information.
Can I define custom fields?
Yes. Our schema builder supports a wide range of types, from basic integers and booleans to complex formatted strings like MAC addresses and Ethereum wallet IDs.
Is this tool suitable for Stress Testing?
Absolutely. By generating large, complex JSON payloads, you can test how your frontend handles data loading and how your backend validator performs under heavy object structures.