Column Extractor

Extract and separate data from multi-column text into individual rows.

Multi-Column Input Data

About Column Extractor & Delimited Text Parser

The Column Extractor is a high-speed text processing utility designed to extract, slice, isolate, and reformat specific columns from structured or semi-structured multi-column text data, such as TSV (tab-separated), CSV (comma-separated), pipe-delimited (|), or whitespace-aligned log tables.

How Column Extraction Works

The extractor processes text line-by-line using configurable delimiter tokenization:

  1. Line Splitting: The input document is parsed into distinct row arrays separated by newline characters (\n or \r\n).
  2. Delimiter Parsing: Each line is tokenized based on your selected delimiter (tab, comma, semicolon, space, pipe, or custom regex pattern).
  3. Column Selection & Indexing: The specified target column indices (e.g. column 1, 3, or ranges) are extracted from each parsed row.
  4. Output Formatting: The extracted data points are assembled into clean vertical lists or reformatted datasets ready for spreadsheet import or code processing.

Common Use Cases

  • Server Log Analysis: Extracting IP addresses, HTTP status codes, or response timestamps from Nginx and Apache access logs.
  • Database Dumps & CSV Cleansing: Isolating specific fields (like user IDs, email lists, or transaction hashes) from massive tabular exports.
  • CLI Command Output Parsing: Formatting stdout text from command-line utilities (like ps aux, docker ps, or netstat) into clean single-column lists.

Frequently Asked Questions (FAQ)

Can this tool handle variable whitespace between columns?

Yes. By selecting the "Whitespace" delimiter mode, multiple consecutive spaces and tabs are collapsed into a single column boundary, ideal for CLI table outputs.

Is there a row or line limit?

Because processing runs locally in browser memory using optimized string operations, this tool easily handles hundreds of thousands of lines without lag.