Transform CSV Columns
Apply per-column transformation rules to normalize and standardize CSV data.
Use case
Use this when spreadsheet exports need cleaning like trimming, case conversion, or date formatting before analysis.
What to expect
Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.
Apply per-column transformation rules to normalize and standardize CSV data.
CSV Row Transformer
CSV → CSV
Transform CSV rows
CSV with all row transformations applied.
Workflow steps
Workflow shortcut
Next unlocked step: Step 1 · CSV Row Transformer
CSV Row Transformer
Apply per-column transformation rules to CSV data. Chain operations like trim, uppercase, lowercase, rounding, date conversion, and find-replace.
Transform input (JSON envelope)
Provide { "csv": "...", "rules": { "column": "trim|uppercase" } } where rules are pipe-delimited operations per column.
Transformed CSV
CSV with all row transformations applied.
Run this step to process the current input and prepare the next workflow stage.