Why is the same column order applied to every row instead of shuffling each row independently?

Shuffling independently per row would break the association between a value and its column header (e.g. 'name' values ending up under 'email' in some rows) — applying one permutation to every row keeps the data internally consistent, just with columns in a new order.

How does auto-detect choose between tabs and commas?

It checks the first line of input: if it contains a tab character, tab is used as the delimiter; otherwise it falls back to comma, which covers the two most common plain-text tabular formats (TSV and CSV).

What happens with rows that have a different number of columns?

The shuffle uses the widest row's column count to build the permutation; narrower rows simply produce empty values for any column index they don't have.

Can I use a custom delimiter like a semicolon or pipe?

Yes, choose a specific delimiter instead of auto-detect if your data uses semicolons, pipes, or another separator.

Text Column Shuffler - Randomize Column Order in Tabular Text

Overview

Introduction

Sometimes you need to reorder the columns of a CSV or TSV export without touching the data itself — for example, to de-emphasize column position in a demo dataset, or to test whether a downstream tool depends on column order.

This tool auto-detects (or lets you choose) a delimiter, computes one random column permutation, and applies that exact permutation to every line so the table stays internally consistent.

What Is Text Column Shuffler?

A structural shuffler for delimited plain-text tables: it reorders columns, not rows or cell contents.

It supports tab and comma auto-detection plus a manual delimiter option for semicolon-, pipe-, or otherwise-separated data.

How Text Column Shuffler Works

Each non-empty line of the input is split on the resolved delimiter into an array of column values.

A single random permutation of column indices is generated once (via Fisher-Yates on the index array), then that same permutation is used to reorder every row's columns.

Rows are rejoined with the same delimiter and returned as the output, one row per line.

When To Use Text Column Shuffler

Use it to de-order a sample CSV/TSV dataset before sharing it as an anonymized example, so the original column layout isn't guessable.

Use it to test whether a script or spreadsheet import depends on column position rather than header names.

Often used alongside Text Line Shuffler, Random Case Converter and Word Shuffler.

Features

Advantages

Keeps every row internally consistent by reusing one permutation for the whole table, not a fresh shuffle per row.
Auto-detects the common tab vs. comma delimiters, or accepts a custom one for other formats.
Works entirely client-side on pasted text, with no file upload required.

Limitations

It has no header-aware mode — if your first row is a header, it gets shuffled along with the data rows using the same permutation, which is usually what you want but worth double-checking.
Quoted CSV fields containing the delimiter itself (per RFC 4180 quoting rules) are not specially parsed; simple unquoted delimited text works best.

Examples

Shuffling comma-separated columns

Input

name,age,city
Alice,30,Paris

Output

city,name,age
Paris,Alice,30

Both the header row and the data row have their columns reordered identically.

Auto-detecting a tab delimiter

Input

a[TAB]b[TAB]c
d[TAB]e[TAB]f

Output

c[TAB]a[TAB]b
f[TAB]d[TAB]e

The first line contains a real tab character (shown here as [TAB] for readability), so tab is used as the delimiter for every row.

Best Practices & Notes

Best Practices

Pick a specific delimiter instead of relying on auto-detect if your data could contain both tabs and commas.
Check whether your first row is a header before shuffling, since it will be reordered along with the rest of the table.

Developer Notes

Ragged rows (fewer columns than the widest row) are handled by indexing with `row[i] ?? ""`, so shorter rows simply contribute empty strings for column positions they don't have rather than throwing.

Text Column Shuffler Use Cases

Anonymizing the column layout of a sample dataset before sharing it publicly
Testing whether an import script depends on column order
Creating a scrambled-columns demo for a CSV parsing exercise

Common Mistakes

Forgetting that a header row shuffles along with the data rows using the same permutation.
Using auto-detect on data that mixes tabs and commas, which can pick the wrong delimiter.

Tips

Choose an explicit delimiter for unusual formats like semicolon- or pipe-separated values.
Combine with the Text Line Shuffler if you also want to randomize row order, not just column order.

Text Column Shuffler