Validate CSV then CSV Header Editor

Validate raw CSV first, then run CSV Header Editor for a safe, repeatable pipeline.

Beginner~2 mincsvcleanquality-gate

Use case

Use this when incoming CSV quality is uncertain and you want a validation gate before running CSV Header Editor.

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.

Validate raw CSV first, then run CSV Header Editor for a safe, repeatable pipeline.

Current focusStep 1 · CSV Validator

0% complete

Step 1csv-tools Waiting

CSV → TEXT

Validate CSV

Status report with column count and any detected errors.

Step 2csv-tools Waiting

CSV → CSV

Edit headers

Review the result here before moving to the next step.

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 Validator

Progress is stored locally in this browser.

Step 1Ready to runcsv-tools

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

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.

Step 2Lockedcsv-tools

Rename, add, or remove CSV headers.

Complete the previous step first

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

Use raw CSV for passthrough fallback, or provide { "csv", "rename", "remove", "add" }.

Review the result here before moving to the next step.

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