Data Tools Platform

CSV Add Column

Add a new column with the same value to all CSV rows.

What this tool helps you do

This tool adds a new column to your CSV file and fills it with the same value for all rows. It is useful when you need to label, tag, or standardize records before exporting or importing data.

Common use cases

Add a status field to all rows.
Mark imported records with a source label.
Create a constant category or tag before importing data elsewhere.
Standardize exported CSV files with extra metadata.

Part of these categories

CSV Tools

Related guide

How to Add a Column to a CSV File

Learn how to add a new column to a CSV file for calculations, flags, labels, or additional data processing.

Read the guide

What this tool does

This tool adds a new column to your CSV file and fills it with the same value for all rows. It is useful when you need to label, tag, or standardize records before exporting or importing data.

How to use it

  1. Upload your CSV file.
  2. Enter the new column instruction using this format: newColumn=value.
  3. Click the "Run tool" button.
  4. Download the updated CSV file.

Example

Input:

name,age,country
Maca,30,Brasil
Ana,25,Chile
Jose,28,Peru

Output:

name,age,country,status
Maca,30,Brasil,active
Ana,25,Chile,active
Jose,28,Peru,active

Common use cases

  • Add a status field to all rows.
  • Mark imported records with a source label.
  • Create a constant category or tag before importing data elsewhere.
  • Standardize exported CSV files with extra metadata.

Important notes

  • Use this format: newColumn=value.
  • The new column is added at the end of the CSV.
  • The same value is applied to all rows.
  • The tool will show an error if the column already exists.

FAQ

What format should I use?

Use this format: newColumn=value. For example: status=active.

Can I use a different value for each row?

Not in this first version. The tool applies the same value to every row.

What happens if the column already exists?

The tool will stop and show an error message to avoid overwriting existing data.

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