Extract CSV Columns

What It Does

Pull specific columns out of a CSV dataset by name or position number. Extract one or multiple columns to create a focused subset of your data without altering the source file.

How It Works

Extract CSV Columns pulls matching material out of a larger body of input and ignores the rest. Extraction tools are less about rewriting the whole source and more about defining the boundary between relevant and irrelevant content.

Extraction only returns what matches the tool's capture rule. If the result feels incomplete, the usual cause is that the source uses a structure or delimiter the extraction logic does not treat as equivalent.

All processing happens in your browser, so your input stays on your device during the transformation.

Common Use Cases

• Extract email addresses from a large customer export for a mailing list
• Pull just the price and SKU columns from a product catalog CSV
• Isolate date and value columns for time-series analysis
• Create a slim dataset from a wide export with dozens of columns
• Extract ID columns to build a lookup reference file

How to Use

1. Paste your CSV data into the input area.
2. Specify the columns to extract by header name or column number.
3. Choose whether to preserve the original column order or reorder.
4. Click Extract and copy the resulting subset.

Features

• Select columns by header name or position number
• Extract multiple columns at once
• Preserves original data in selected columns
• Handles quoted fields and embedded delimiters
• Outputs a valid CSV with only the selected columns

Examples

Below is a representative input and output so you can see the transformation clearly.

name,age,city
Ada,36,London
Lin,29,Berlin

name,city
Ada,London
Lin,Berlin

Edge Cases

• Very large inputs can still stress the browser, especially when the tool is working across many columns. Split huge jobs into smaller batches if the page becomes sluggish.
• Empty or whitespace-only input is technically valid but may produce unchanged output, which can look like a failure at first glance.
• If the output looks wrong, compare the exact input and option values first, because Extract CSV Columns should be repeatable with the same settings.

Troubleshooting

• Unexpected output often means the input is being split or interpreted at the wrong unit. For Extract CSV Columns, that unit is usually columns.
• If a previous run looked different, check for hidden whitespace, changed separators, or a setting that was toggled accidentally.
• If nothing changes, confirm that the input actually contains the pattern or structure this tool operates on.
• If the page feels slow, reduce the input size and test a smaller sample first.

Tips

When extracting by column number, remember that numbering starts at 1. If you need columns 1, 3, and 5, enter those numbers separated by commas.