RowLabRowLab

Step glossary

Transformations that solve real data problems

Each step is an explicit, deterministic cleanup action. Chain them into workflows you can save and re-run — no AI guesswork, no uploading your files.

Try a sample cleanupSee use cases

Cleaning

Standardize

Standardize phone numbers, emails, and names in CSV

Trim & Clean

Remove whitespace and clean text columns in CSV

Find & Replace

Find and replace text in CSV with regex support

Type Convert

Convert CSV columns to number, date, or boolean

Case Transform

Change CSV text to upper, lower, or title case

Map Values

Map and remap CSV values with a lookup table

Quality

Dedupe

Remove exact duplicate rows from CSV and Excel files

Fuzzy Dedupe

Find and merge near-duplicate records in CSV files

Validate

Validate emails, required fields, and data rules in CSV

Filter Rows

Filter CSV rows by conditions

Reshape & join

Join / Lookup

Join two CSV or Excel files by key columns

Fuzzy Join

Fuzzy match and join CSV files when keys don’t match exactly

Aggregate

Group and aggregate CSV data (sum, count, average)

Pivot Table

Create pivot tables from CSV and Excel data

Unpivot

Unpivot wide CSV data to long format