Mock Data Generator
Generate synthetic datasets for customers, products, financial transactions, and technical logs with controlled fuzziness for testing.
High-quality synthetic data is essential for testing database performance, search algorithms, and duplicate detection logic. The Vrana Labs Mock Data Generator provides a localized way to spin up complex datasets instantly.
Key Features
- Multi-Entity Types: Generate realistic Customer profiles, Product catalogs, Financial transactions, or Technical logs.
- Controlled Fuzziness: Use the “Data Similarity” slider to introduce near-duplicates or structural variations, perfect for testing fuzzy-matching logic.
- Export Versatility: Download your generated data in JSON or CSV formats for immediate import into your dev environment.
- Privacy First: All data generation happens locally in your browser. No sensitive schemas or resulting datasets ever touch our servers.
Using Fuzziness
The Fuzziness control is specifically designed for engineers building robust systems. When increased, the generator will intentionally create records with similar names (e.g., “John Doe” and “Jon Doe”) or nearly identical product descriptions to help you stress-test your data deduplication pipelines.
Generator Settings
Increases the chance of generating similar or near-duplicate names and values.
Generated Dataset
Privacy Check: Generation is entirely disconnected. No network requests are made.