CSV Tools Pro

    Extract Columns from CSV Online

    Select and extract specific columns from CSV files directly in your browser. Fast, private, and free to use.

    • Keep columns by position
    • Search and filter column names
    • No uploads — files stay on your device
    • Free, no account required

    Your file is processed in your browser and is not uploaded unless explicitly stated.

    What Does the CSV Column Extractor Do?

    This tool lets you extract specific columns from CSV files directly in your browser. It is useful when cleaning datasets, removing unnecessary fields, preparing files for imports, or creating smaller CSV files for analysis and sharing. Because all processing happens locally in your browser, your files remain private and are never uploaded to a server.

    To extract columns from a CSV file, upload your file, choose which columns to keep using the checkbox list, then click Extract Columns. You can preview the filtered result before downloading. All rows are preserved — only the unselected columns are removed.

    How to extract CSV columns

    1. Upload a CSV and review the detected headers.
    2. Select the columns to keep; use the name search for wide files.
    3. Extract, check the ten-row preview, then download the complete result.

    When would I use this?

    • Remove unnecessary columns from database or CRM exports before sharing
    • Select only the columns needed for import into another system or platform
    • Prepare data for analysis by keeping only relevant fields
    • Clean marketing or contact lists by stripping internal metadata columns
    • Create smaller, lighter CSV files for faster processing or easier sharing
    • Quickly select CSV columns online without opening Excel or writing code

    Common Problems Working with CSV Columns

    • Database and API exports often include dozens of columns, many of which are unnecessary for the task at hand
    • Importing a CSV with too many columns into a system that expects a specific set of fields causes import errors
    • Sharing CSV files with unnecessary columns exposes internal data or metadata that should not be distributed
    • Removing unwanted columns manually in Excel means selecting and deleting them one by one, which is slow for wide files
    • Preparing data for analysis often requires creating a focused subset of columns from a larger export

    Best Ways to Extract or Remove Columns from a CSV File

    • Delete columns in Excel — Simple for small files, but slow and repetitive for files with many columns, and requires Excel to be installed
    • Write a script — Python's pandas or the standard csv module can extract columns in a few lines of code, but requires technical knowledge
    • Use a browser-based column extractor — Upload your CSV, select the columns to keep, preview them and download without writing code

    Things to be aware of

    • Column names in the output are taken exactly from the source file — any inconsistencies in header names are preserved as-is
    • Duplicate and blank headers are selectable separately by position; their original header text is preserved
    • Very wide CSV files with hundreds of columns may be slow to render in the column picker
    • This tool keeps all rows — it does not filter or remove rows, only columns
    • The column order in the output matches the original column order from the source file
    • Selecting every column is allowed and produces a re-serialised copy; it does not rearrange columns
    • Blank physical lines are skipped during parsing, while rows with empty cells remain

    Worked example

    INPUT
customer_id,name,email,internal_note
1042,Ada Cole,ada@example.com,priority

KEEP: customer_id, email

OUTPUT
customer_id,email
1042,ada@example.com

    Frequently Asked Questions

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