Input Data
Supports: CSV, TSV, TXT (max 10MB)
Effortlessly extract specific columns from CSV, TSV, or tabular data with precision and speed — no coding required. Transform your data workflow with our intelligent column extraction tool.
Our tool intelligently detects tabs, commas, pipes, and semicolons — no manual setup needed.
See detected column headers instantly and choose exactly what you need.
Extract thousands of rows in milliseconds — no waiting, no lag.
All processing happens in your browser — your data never leaves your device.
No. Everything runs in your browser — no downloads, no signups, no installations. Just paste or upload and go!
Absolutely not. All processing happens locally in your browser. Your data never leaves your device — guaranteed.
We support CSV, TSV, and plain TXT files. Auto-detection works for comma, tab, semicolon, and pipe delimiters.
You can upload files up to 10MB. For larger datasets, consider splitting or pasting in chunks for best performance.
Yes! If no headers are detected, we auto-generate “Column 1, Column 2...” so you can still select and extract.
Yes! Fully responsive design works on phones, tablets, and desktops. Upload or paste with ease on any device.
Yes — after extracting, use the “Download as CSV” or “Download as TXT” buttons to save your output locally.
Make sure you’ve selected the correct delimiter. If auto-detect fails, manually choose the right one from the dropdown.
No hard limits — but performance may vary with extremely large datasets (100K+ rows). Modern browsers handle it well.
Not yet — but we’re working on it! For now, columns are extracted in the order they appear in your selection.
Visit our About page and use the contact form. We love feedback!
Yes, 100% free — no ads, no paywalls, no tracking. Built with ❤️ for developers, analysts, and data lovers.
Isolate specific columns from CSV or text tables. This page is designed to help you extract selected information with a clear browser-based workflow rather than making you install a separate utility for a small task.
Paste the source text, apply the transformation, inspect the changed text, and copy the result only after checking punctuation, spacing and meaning.
Review extracted data against the source when formatting, ordering or completeness is important. Automated text transformations can change formatting or context. Keep the source text when exact wording matters.
Expected: A result that matches the options you selected and can be checked against the original input. Avoid: Using the output immediately without checking a representative part of it first.
Text transformations are easiest to trust when you can compare the result with a small sample first. Use Extract Columns From Table on representative text, confirm that punctuation, whitespace, markup or character encoding behaves the way you expect, and only then process larger blocks. Keep a copy of the source when wording or structure matters, because some transformations are intentionally destructive or difficult to reverse exactly. For structured text or markup, test the result in its destination as well so syntax and escaping still behave as intended.