Remove PII Columns and Validate CSV

Strip sensitive columns before validating final CSV shape for safe sharing.

Beginner~2 mincsvcleanupvalidation

Use case

Use this before sharing operational exports externally where personal data must be removed and structure must still validate.

Workflow overview2 steps0 / 2 completed~2 min

Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.

Strip sensitive columns before validating final CSV shape for safe sharing.

Current focusStep 1 · CSV Column Remover

0% complete

Step 1csv-tools Waiting

CSV → CSV

Remove columns

CSV with the specified columns removed.

Step 2csv-tools Waiting

CSV → TEXT

Validate CSV

Status report with column count and any detected errors.

Run this workflow inline

Work through each tool step here. Running a step automatically prepares the next step with the correct handoff value.

Workflow shortcut

Next unlocked step: Step 1 · CSV Column Remover

Progress is stored locally in this browser.

Step 1Ready to runcsv-tools

Drop unwanted columns from a CSV. Specify which columns to remove and get a cleaned result.

Columns to remove

Comma-separated column names, for example: age,city

Paste the CSV to trim and use the separate columns field above to pick columns to remove.

CSV with the specified columns removed.

Run this step to process the current input and prepare the next workflow stage.

Step 2Lockedcsv-tools

Validate CSV syntax and structure — checks column consistency, unclosed quotes, and empty headers.

Complete the previous step first

This step unlocks automatically after all earlier workflow steps are completed successfully.

Paste CSV to validate. The original CSV is passed to the next step on success.

Status report with column count and any detected errors.

Run this step to process the current input and prepare the next workflow stage.