Extract Columns then Validate CSV

Keep only required columns first, then validate the reduced dataset for safe handoff.

Beginner~2 mincsvtransformvalidation

Use case

Use this when exports contain many fields and you want a minimal validated CSV with only the required columns.

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.

Keep only required columns first, then validate the reduced dataset for safe handoff.

Current focusStep 1 · CSV Column Extractor

0% complete

Step 1csv-tools Waiting

CSV → CSV

Extract columns

CSV containing only the specified columns.

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 Extractor

Progress is stored locally in this browser.

Step 1Ready to runcsv-tools

Keep only the columns you need. Specify column names and get a slimmed-down CSV.

Columns to keep

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

Paste the CSV to filter and use the separate columns field above to pick columns to keep.

CSV containing only the specified columns.

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.