Is this the same operation as CSV Transposer?

Yes, mathematically it's the exact same matrix transpose. This tool is named and framed for the specific mental model of "I have columns and want rows instead."

How is this different from CSV Rows to Columns Converter?

They perform the identical transpose operation; the two tools exist as clearly named specializations for whichever direction matches how you're already thinking about your data.

Does the header row get special treatment?

No, a transpose has no special concept of a header row; every row and column, including row 0, participates equally in the reshape.

What happens to ragged input rows with different lengths?

They're padded with empty cells to a uniform rectangle before transposing, so no data is lost or misaligned.

Will running this tool twice in a row restore my original data?

Yes, transposing twice returns you to the original grid shape and values (aside from any padding added to ragged rows the first time).

Does this support delimiters other than commas?

No, only comma-delimited input and output are supported, though quoted fields with embedded commas are handled correctly.

CSV Columns to Rows Converter - Turn Columns Into Rows

Overview

Introduction

Data that's naturally organized as columns, a set of labeled attributes across the top of a sheet, sometimes needs to become a plain list of rows for another tool or report.

This tool performs that reshape directly: every column of your CSV becomes one row of the output, in the same left-to-right order.

What Is CSV Columns to Rows Converter?

A framing of the matrix transpose operation aimed specifically at the "I have columns, I want rows" use case: column 0 of the input becomes row 0 of the output, column 1 becomes row 1, and so on.

Under the hood it's identical to CSV Transposer and CSV Rows to Columns Converter; the three tools share the same math with different names for discoverability.

How CSV Columns to Rows Converter Works

The input is parsed into a grid and padded to a uniform width so every row has the same number of cells.

For each column index, a new row is built by collecting that cell from every original row in order, and the resulting set of rows is re-serialized back into CSV text.

When To Use CSV Columns to Rows Converter

Use it when your source data has attributes running across columns and you need each attribute as its own row instead, for example turning a wide config-style CSV into a flat list.

It's also handy for feeding column-oriented data into tools or charts that expect one record per row.

Often used alongside CSV Rows to Columns Converter, CSV Transposer and CSV Column Extractor.

Features

Advantages

Directly matches the "columns become rows" mental model without requiring a separate mental transpose step.
Pads ragged input to a rectangle first, so uneven row lengths never cause misaligned output.
Fully reversible, running it (or the inverse-framed tool) again restores the original shape.

Limitations

There's no way to transpose only some columns; the entire grid participates in the reshape.
Very wide CSVs become very tall output, and vice versa, which can make some outputs unwieldy to review as plain text.

Examples

Turning three columns into three rows

Input

id,name,active
1,Ada,true
2,Alan,false

Output

id,1,2
name,Ada,Alan
active,true,false

Each original column, "id", "name", "active", becomes its own row in the output, values in original row order.

Best Practices & Notes

Best Practices

Confirm your CSV doesn't have ragged rows before transposing if exact column alignment matters, since padding fills gaps with empty strings.
Use CSV Rows to Columns Converter instead if your source data is naturally one-record-per-row and you want records as columns.
Pair with CSV Row Sorter afterward if the newly created rows need reordering.

Developer Notes

Implemented as `Array.from({ length: width }, (_, columnIndex) => rows.map((row) => row[columnIndex]))`, identical logic to CSV Transposer and CSV Rows to Columns Converter, kept as separate files purely for discoverability under different search terms.

CSV Columns to Rows Converter Use Cases

Converting a wide, attribute-per-column CSV into a flat attribute-per-row list
Preparing column-oriented data for a chart or report that expects one record per row
Restructuring a config-style export before importing it into a row-based system

Common Mistakes

Expecting only some columns to transpose; the operation always applies to the whole grid at once.
Not accounting for padding on ragged input, which can introduce empty cells you didn't expect.

Tips

If the output looks like the wrong shape, you likely want CSV Rows to Columns Converter instead, check which direction matches your data.
Run the tool twice to sanity-check reversibility if you're unsure the reshape preserved everything correctly.

CSV Columns to Rows Converter