Prepare datasets for AI workflows with cleaning, profiling, schema detection, fake data, masking, and prompt-ready exports.
AI engineers, data analysts, students, researchers, and prototyping teams.
AI projects still depend on clean structured data, documented fields, masked sensitive values, and representative examples.
Score a CSV for missing values, duplicates, row shape, and type consistency before trusting it.
Create a practical data dictionary from CSV columns, inferred types, and example values.
Scan dataset columns for possible emails, phone numbers, names, IDs, and other sensitive fields locally.
