CSV Column Extractor & Filter

Extract, filter, or reorder specific columns from CSV datasets by header name or 1-based column index with full RFC 4180 quoted field support.

Category: File & Data

How to Use CSV Column Extractor & Filter

  1. Paste your CSV dataset including the header row into the input box.
  2. Enter a comma-separated list of column header names (e.g., name,email) or 1-based column index numbers (e.g., 1,3).
  3. Click Process to extract and reorder the specified columns across all rows.
  4. Copy the clean RFC 4180 CSV subset or download it as a text file.

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Frequently Asked Questions

How do I extract specific columns by header name versus numeric column index?

In the 'Columns to Extract' input, enter a comma-separated list of either exact column header names (case-insensitive, e.g., 'name,email') or 1-based column position numbers (e.g., '1,3,4'). You can even mix both or list them in a new sequence to reorder columns in the output CSV.

Does the CSV Column Extractor support RFC 4180 quoted fields containing commas?

Yes. Unlike basic comma-split scripts that break whenever a cell contains a comma (such as '"Smith, Alice",Admin'), our parser follows RFC 4180 state-machine rules—respecting double-quoted strings and escaped double quotes ('""') so column boundaries remain 100% accurate.

Can I use this tool to reorder columns in a CSV file?

Yes. The output columns are emitted in the exact order you list them in the 'Columns to Extract' field. For example, specifying 'email,id,name' will place the email column first, id second, and name third across the header and all data rows.

How are cells containing commas or quotes formatted in the extracted CSV output?

Every extracted cell is re-serialized according to RFC 4180: any field containing a delimiter, newline, or double quote is automatically enclosed in double quotes with internal quotes doubled ('""'), ensuring clean imports into Excel, Google Sheets, PostgreSQL, or Pandas.

Is my CSV dataset uploaded to a server during column extraction?

No. All CSV parsing and column slicing runs entirely in your browser's local memory. Customer lists, email exports, and financial records remain completely private on your computer.