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Synthetic Data Generator

Generate realistic but fake data for testing, training, and compliance. Customer records, transactions, medical records, network logs — statistically similar to real data, zero PII.

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Overview

Solve the 'we can't use production data for testing' problem. Generate thousands of realistic synthetic records from templates, custom schemas, or by inferring the schema from a sample of real data. Statistical fidelity verification proves the synthetic data matches real distributions.

What You'll Learn

  • Synthetic data generation techniques and use cases
  • Schema inference from sample data using LLMs
  • Statistical fidelity verification between real and synthetic data
  • Compliance implications of synthetic vs. real data

Key Capabilities

  • 6 pre-built templates (customers, transactions, medical, network, employees, IoT)
  • Custom schema builder with 14 field types
  • AI-powered schema inference from sample CSV/JSON
  • Statistical comparison: original vs. synthetic distributions
  • Export to CSV, JSON, or formatted Excel