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Convert CSV Rows to Columns

Convert CSV rows into columns by transposing the table.

Tool

Use this CSV Rows to Columns converter to flip row-oriented CSV into column-oriented output. It is useful for compact layouts, horizontal summaries, report preparation, and reusing normal row-based CSV in a wider column-based format.

About this tool

Use this CSV Rows to Columns converter to flip row-oriented CSV into column-oriented output. It is useful for compact layouts, horizontal summaries, report preparation, and reusing normal row-based CSV in a wider column-based format.

Use convert csv rows to columns when you need a fast browser-based result without extra setup. It works well for quick checks, one-off tasks, and routine formatting or calculation work.

Learn more

Why use this tool

How to use

  1. Paste CSV into the input box
  2. Click Run Tool to transpose it
  3. Review the columns-based output
  4. Check whether missing values created blanks
  5. Copy the converted CSV into your report or next workflow

Examples

Example

Input

name,age
John,30
Anna,25

Output

name,John,Anna
age,30,25

Turns normal row-based CSV into horizontal columns.

Example

Input

id,title
1,Book
2,Pen

Output

id,1,2
title,Book,Pen

Useful for compact horizontal summaries.

Common errors

The CSV contains invalid quoting

Fix: Validate or format the CSV first.

The user expects a different action than transpose

Fix: This tool performs the same core transpose action, focused on rows becoming columns.

Uneven row lengths create empty output cells

Fix: Check the source CSV because missing fields will show up as blanks.

FAQ

What does CSV Rows to Columns do?

It transposes the CSV so rows become columns.

Is this different from Transpose CSV?

It uses the same core operation, but this page is framed specifically for the rows-to-columns intent.

Does it handle quoted CSV values?

Yes, when the input CSV is valid.

What if some rows are shorter?

Missing values become empty cells after conversion.

When is this tool most useful?

It is useful when normal row-based CSV needs to become a horizontal summary.

Use cases

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