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Cleaning
Deduplicate, normalize, repair, and standardize data.
22 ready tools out of 22 listed in this workflow.
Utilities
9
Remove Duplicate Rows
Ready
Strip duplicate rows from CSV or JSON.
Remove Empty Fields
Ready
Drop empty cells or null fields.
Trim Whitespace
Ready
Trim leading/trailing whitespace in every field.
Fix Broken JSON
Ready
Repair trailing commas, single quotes, comments.
CSV Cleaner
Ready
Auto-detect and fix common CSV issues.
Normalize Column Names
Ready
snake_case, camelCase, or kebab-case headers.
Standardize Phone Numbers
Ready
Convert phone numbers to a single format.
Email Validator
Ready
Bulk-validate a list of email addresses.
Data Type Detector
Ready
Infer each column's data type.
Smart
9
Detect Corrupted Rows
Ready
Spot rows with shape or type mismatches.
Inconsistent Data Finder
Ready
Flag inconsistent formats inside a column.
Null Value Cleaner
Ready
Replace, drop, or report null/empty cells.
Outlier Detector
Ready
Flag statistical outliers in numeric columns.
JSON Key Renamer
Ready
Rename keys with rules (snake_case, prefix strip, mapping table).
Missing Value Cleaner
Ready
Choose a fill, drop, or interpolate strategy per column, by detected type.
Smart Type Detection
Ready
Per-column type inference: int, float, date, bool, enum, ID.
Invalid Row Detector
Ready
Flag rows that violate a schema or per-column constraints.
Data Standardizer
Ready
Normalize a column to a chosen format (e.g. dates, currencies, casing).
Formatting
4
Phone Number Formatter
Ready
Reformat phone numbers (E.164, national, dashed) in a CSV column.
Date Format Normalizer
Ready
Parse messy date strings and emit ISO-8601 (or any chosen format).
Currency Standardizer
Ready
Normalize currency strings ("$1,200.50" → 1200.50 USD) across rows.
Address Cleaner
Ready
Standardize address strings — case, abbreviations, components.
