Data Tools
Data Cleaner
Clean and standardize data by removing duplicates, normalizing formats, and handling missing values
Input data (JSON)
Cleaning rules
Trim whitespace
Cleaned result
Cleaned output will appear here...Example cleaning operations
- Trim whitespace from text fields
- Normalize email addresses to lowercase
- Convert age strings to numbers
- Remove empty or null fields
- Fill missing status with a default value
- Remove duplicate records