Replace a CSV Column lets you instantly swap any column in your CSV with new values. Just pick the column, enter your replacement, and export the result.
How to Use:
- Paste your CSV data into the Input CSV box or use Choose File to upload
.csv
,.txt
, or other supported formats. - Enter the Column Index (starting from 0) for the column you want to replace.
- Type your desired New Value this will replace every value in that column.
- Enable Trim fields to clean up extra spaces around each value before processing.
- Use Replace header too if you want the first row (column name) to be replaced as well.
- Turn on Maximize output to expand the output area for easier reading.
- The updated CSV appears live in the Updated CSV box and flashes on each change.
- Use Copy Output to copy the result or Export to File to save it.
- A live character count appears below the output box.
- Click Clear All to reset everything including inputs, toggles, and uploaded file.
What Replace a CSV Column can do:
Replace a CSV Column is great when you need to quickly update or overwrite a specific column across your entire CSV. You can target any index, preserve headers if needed, and instantly preview the result. Whether you’re anonymizing data, inserting placeholders, or standardizing column values, this tool does it fast and without opening a spreadsheet. All changes happen live in your browser no uploads, no delay.
Example:
Input:
Name,Age,City
Alice,30,New York
Bob,27,London
Charlie,33,Sydney
Settings:
- Column Index:
1
- New Value:
REPLACED
Output:
Name,REPLACED,City
Alice,REPLACED,New York
Bob,REPLACED,London
Charlie,REPLACED,Sydney
With Replace header off:
Name,Age,City
Alice,REPLACED,New York
Bob,REPLACED,London
Charlie,REPLACED,Sydney
Common Use Cases:
You might use Replace a CSV Column to scrub sensitive info before sharing, bulk-edit placeholder content, or prep a file for a merge or import. It’s especially useful when you just need one column changed but don’t want to write scripts or fiddle with Excel.
Useful Tools & Suggestions:
If you’re prepping the data first, Extract a CSV Column can help you grab just what you need before replacing. And after the swap, Rename CSV Columns is handy to keep everything labeled correctly.