Extract CSV Columns

Select and Reorder Fields: The Essential Guide to Extracting CSV Columns

In database administration, data science, and general spreadsheet management, you often receive large CSV files containing dozens of columns, but only need a fraction of them. For instance, you may have a large customer database export and only want to isolate their names and email addresses to feed an email marketing tool.

Our **Online Extract CSV Columns Tool** handles this operation perfectly, allowing you to parse any CSV, choose exactly which columns to keep, and compile clean resulting CSV files instantly inside your browser. You can even reorder the columns during extraction!

Three Easy Extraction Modes

Rather than writing complex Python scripts or waiting for heavy desktop applications to load, our browser utility offers three flexible extraction methods:

• Interactive Checklist: The tool parses your input CSV and builds a clean checkbox grid of all columns. Just check the ones you want to keep!
• Column Numbers (1-based): List the numeric indices of the columns you want (e.g. `1, 3` to keep the first and third columns). You can list them in a custom order to rearrange your CSV!
• Column Header Names: List the exact column header text (comma-separated, case-insensitive, e.g. `email, name`) to extract them dynamically.

How to Extract Columns from Your CSV

1. Load Input: Paste your CSV data into the input field, or upload an existing file.
2. Choose Extraction Method: Select Interactive Checklist, Column Numbers, or Header Names.
3. Select Columns: Choose your target columns using checkboxes, indices, or text matches.
4. Export Result: Download the extracted CSV file or copy it instantly to your clipboard.