Text Column Extractor

Extract specific columns from CSV, TSV, fixed-width, regex or JSON data. Preview as table, re-join with any delimiter.

Last reviewed: April 2026
Reviewed by , software engineer · last updated April 2026

New to this tool? Click here for instructions

Input Data
Paste data above and configure extraction options.

How to Use the Column Extractor

The Text Column Extractor is a free online tool that allows you to extract specific columns from various types of text data, including CSV, TSV, fixed-width, regex, and JSON. Here's how to use it:

1. Choose an Extraction Mode: Select the mode that best fits your data format (Delimiter, Fixed Width, Regex, or JSON Path).

2. Configure Options: Set the delimiter, column numbers, ranges, pattern, or paths according to your needs.

3. Paste Your Data: Enter your data into the input area.

4. Preview and Adjust: The preview table updates instantly. Adjust your settings as needed.

5. Copy or Download: Choose an output delimiter and copy or download the extracted columns.

When to Use the Tool in Real Workflows

The Text Column Extractor is ideal for various real-world scenarios, such as:

1. Data Cleaning: Extracting specific columns from large datasets for analysis or reporting.

2. Report Generation: Pulling necessary data from complex reports to create customized reports.

3. Log Analysis: Capturing timestamps and error messages from log files for better monitoring.

4. API Data Processing: Converting API response dumps into structured CSV for easier analysis.

5. Data Migration: Extracting and re-joining columns in different orders for data migration.

How It Works

The Text Column Extractor operates by sending your data and configuration to an external tool hosted by ThisDevTool. The tool processes the data according to your settings and returns the extracted columns. The process is handled entirely in your browser, ensuring data privacy and speed.

For large datasets, consider using command-line tools like `cut`, `awk`, or `jq` for better performance and memory efficiency.

Tips, Edge Cases, or Limitations

1. Data Format Support: Ensure your data format matches the selected extraction mode.

2. Large Files: For files larger than several megabytes, use command-line tools for better performance.

3. Regex Patterns: Be cautious with complex regex patterns to avoid errors.

4. Output Delimiter: Customize the output delimiter to match your requirements.

5. Preview Table: The preview table helps you visualize the extracted columns before finalizing your settings.

Frequently Asked Questions

Select the Delimiter mode, set the delimiter to a comma, and specify the column number(s) you want to extract.
Fixed-width extraction allows you to specify the character positions of columns in your data, which is useful for data formatted in fixed-width files.
Choose the Regex mode, enter your regex pattern, and the tool will extract each capture group as a separate column.
JSON Path extraction is used for NDJSON files, where you can specify the path to the data you want to extract.
Yes, you can customize the output delimiter to match your requirements.