Split CSV or TSV data and extract the exact columns you need. Works instantly in your browser.
Extract single or multiple columns
Comma, tab, pipe, semicolon & more
Data never leaves your browser
Paste your list above to sort, clean, and transform. All processing happens in your browser — your data never leaves your device.
Open Format > Split / Extract Column to access the column extraction feature. Follow these 3 simple steps to extract the data you need from CSV or TSV files.
Copy your data from Excel, a database export, or any CSV/TSV file and paste it into the editor.
Select the delimiter (comma, tab, pipe, semicolon, or custom) and specify which columns to extract.
Click Apply to replace the editor content with your extracted columns.
Original CSV
Name,Email,Department John Smith,john@example.com,Sales Jane Doe,jane@example.com,Marketing Bob Johnson,bob@example.com,IT
After Extracting Column 2
john@example.com jane@example.com bob@example.com
Everything you need to extract and split data from CSV/TSV files, with support for all common delimiters and formatting options.
Support for comma, tab, pipe, and semicolon delimiters. Auto-detect common formats or specify your delimiter.
Use any custom delimiter for specialized data formats. Simply enter your delimiter character.
Pull out one specific column or extract multiple columns at once for complex data transformations.
Maintain the original order of your rows while extracting columns. No data rearrangement.
Automatically trim leading and trailing spaces from extracted values for clean output.
Choose to keep CSV format or output each value on a new line for easier processing.
Extract email lists from CRM exports, database dumps, or spreadsheet exports for email marketing campaigns.
Isolate SKU columns from inventory management exports for catalog updates or inventory tracking.
Convert comma-separated tags from content management systems into individual line items for processing.
Turn Excel or Google Sheets columns into simple text lists for import into other tools or systems.
Extract specific columns before running deduplication to clean up datasets more effectively.
Extract only the columns you need for system imports, reducing file size and eliminating manual editing.
ListWrangler's column extraction tool makes it easy to pull out specific columns from CSV or TSV data without the complexity of spreadsheet software or the risk of data leaving your device.
Copy your data from any source - Excel exports, database dumps, API responses, or text files - and paste it directly into the editor. ListWrangler handles files with thousands of rows instantly.
Click the Format menu in the toolbar and select "Split / Extract Column" to open the extraction modal. This gives you access to all delimiter and column selection options.
Select your delimiter from the dropdown (comma, tab, pipe, semicolon, or custom). Then specify which columns to extract - use column numbers like "2" for the second column, or "1,3,5" for multiple columns. A preview shows your data with column numbers.
Click Apply to instantly extract your selected columns. The editor content will be replaced with just the columns you specified, ready to copy, download, or process further with other ListWrangler tools.
Delimiters are the characters that separate columns in your data. ListWrangler supports all common delimiters and can even detect them automatically:
Microsoft Excel and Google Sheets both have "Text to Columns" features, but ListWrangler offers distinct advantages:
Spreadsheet Text-to-Columns requires opening a spreadsheet application, creating a new file or importing data, navigating through wizard dialogs, and then manually copying the results. ListWrangler eliminates all these steps - simply paste, extract, and copy the result.
For one-off column extraction tasks, ListWrangler is significantly faster. You don't need to launch Excel or create a workbook. Copy data from anywhere - a database export, a text file, an email, or a web page - paste it, extract columns, and you're done. The entire process takes seconds.
Most importantly, ListWrangler runs entirely in your browser. Your CSV data never gets uploaded to any server, making it the safest choice for sensitive information like customer lists, email addresses, or proprietary data. Excel or Google Sheets cannot guarantee this level of privacy.
Yes! ListWrangler supports extracting single or multiple columns from CSV/TSV data. Simply select the columns you need in the Split/Extract Column modal, and they'll all be extracted together. You can choose to keep the original formatting or output each value on a new line.
Yes, the extract column tool properly handles quoted CSV values. If your CSV contains fields with commas inside quotes (e.g., "Smith, John"), the tool will correctly treat the quoted content as a single field rather than splitting at the internal comma.
ListWrangler supports all common delimiters: comma (,) for standard CSV files, tab (\t) for TSV files, pipe (|) for pipe-delimited data, semicolon (;) for European-style CSVs, and custom delimiters for any other format. The tool can also auto-detect common delimiters.
In the Split/Extract Column modal, you can specify columns by their position number (1, 2, 3, etc.) or select from a preview. Column 1 is the first column, Column 2 is the second, and so on. You can also extract multiple columns by separating numbers with commas (e.g., 1,3,5).
Absolutely! When extracting columns, you can choose to preserve the original row formatting or output each extracted value on a separate line. This is perfect for converting a CSV column into a simple list for further processing.
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