Data Cleaner
Convert unstructured or inconsistent data into a validated, typed dataset — with full transparency into every change made.
Type inference
INTEGER, FLOAT, BOOLEAN, DATE, TEXT
Deduplication
exact-match rows removed & logged
Multi-format input
CSV, SQL, XLSX, PDF
SQL export
ready-to-run CREATE TABLE + INSERTs
Choose a real-world dataset to evaluate how your model detects and cleans common data-quality issues.
Employee CSV containing duplicates, missing values, invalid emails, inconsistent cities, and extra spaces.
Customer information with inconsistent names, phone numbers, emails, cities, and missing values.
Payroll data containing mixed salary formats, invalid numbers, missing values, and inconsistent employee information.
Inventory data with inconsistent prices, quantities, categories, dates, and product names.
A realistic CSV combining duplicate records, invalid values, inconsistent formats, missing data, and incorrect data types.
Student data containing inconsistent names, marks, grades, dates, phone numbers, and missing values.