Make a focused CSV for the next step in your workflow
A spreadsheet export can carry a lot of baggage: internal IDs, contact details, notes, status fields, and columns added for another team. When a report or import needs only a few of them, deleting columns by hand is slow and easy to get wrong. This CSV Column Extractor creates a smaller copy by keeping the fields you choose and carrying their values across every row.
It is useful when preparing a contact list for a mailing platform, creating a short inventory report, sharing only the fields a colleague needs, or reducing a wide export before importing it into another system. You can upload a delimited file or paste rows directly.
Pick fields by their names, then check the result
Once the file loads, each available field appears as a selectable card. The heading is shown along with its column position, which helps when a file has repeated or blank headings. Use Select all for a starting point, clear the selection to build a short list, or toggle individual fields. You need to keep at least one column.
Selections do not reorder the source. If you click “Quantity” before “Order ID,” the exported columns still follow the source file’s left-to-right order. That makes it easier to compare the result with the original layout and avoids accidental rearrangement in systems that expect a particular field order.
Each selected value stays with its original record
Suppose an order export has Order ID, Customer, Email, Item, Quantity, and Internal note. A warehouse handoff might need only the order ID, item, and quantity. Extract those columns and every output row will still pair the right item and quantity with its order ID.
The first row is treated as headings. The tool keeps the selected headings and the corresponding cells from all data rows; blank cells remain blank. It does not filter records, sort rows, calculate values, or edit the cell contents. Review the table after extraction if the file will be used for an import or shared outside your team.
From a wide file to a smaller CSV
- Open a CSV, TSV, or delimited TXT file, or paste the rows you want to work with.
- Choose the columns that belong in the new version.
- Select Extract columns and inspect the result table, including its headings and row values.
- Copy the CSV or download a separate
-columns.csvfile.
Comma, tab, semicolon, and pipe separators are recognized. Quoted fields can contain separators, quotation marks, or line breaks without splitting into extra columns. The export is always standard comma-separated CSV, ready to open in spreadsheet software or use in another data workflow. Files up to 50 MB are processed in your browser; the selected file is not sent to RomitCSV.
Questions about extracting CSV columns
Can I keep just one column?
Yes. Leave one field selected and extract it. The result contains that field’s heading and its value from each data row.
Why do the columns stay in their original order?
The extractor preserves source order so the result remains easy to compare with the original and follows the file’s existing field layout. To deliberately change the order, use the CSV Column Reorder tool afterward.
What happens if two columns have the same heading?
Both columns remain separately selectable. Their position number is shown beneath the heading so you can tell them apart.
Does the extractor remove rows with blank values?
No. It keeps every data row. If a selected field is blank in a row, that cell is blank in the extracted CSV too.
Will it change or overwrite the uploaded file?
No. Extraction creates a new result that you can copy or download; your original file is left as it was.
Can I use tab-separated data?
Yes. The tool recognizes tab-separated, semicolon-separated, and pipe-separated text as well as regular comma-separated CSV.
Where is my file processed?
The file is read and processed in your browser. It is not uploaded to RomitCSV.
Need to change more than the selected fields?
Reorder CSV columns when the field sequence matters, or rename CSV headings to match the labels required by your next system. You can also explore all CSV tools.