Super Boring Tools

Search tools

Find a tool by name or what it does.

CSV to Markdown Table

Paste CSV or TSV and get a clean GitHub-flavored Markdown table. The delimiter is detected automatically, with header and column-alignment controls.

Converted to a Markdown table live as you type. Nothing leaves your browser.

Delimiter

Column alignment

Options

Markdown

Your Markdown table will appear here.

How to convert CSV to a Markdown table online

  1. Paste your data

    Paste or type CSV or TSV into the input. The delimiter is detected automatically, and you can override it to comma, tab, or semicolon.

  2. Set header and alignment

    Toggle First row is header to use your top row as column titles, and choose left, center, or right column alignment.

  3. Copy the Markdown

    The GitHub-flavored Markdown table updates live as you type. Click Copy Markdown to put it on your clipboard.

Why use this tool

Converts as you type

There is no convert button. The Markdown table regenerates on every edit, so the output always matches your input.

Automatic delimiter detection

Comma, tab, and semicolon separated data are detected for you, and you can force a specific delimiter when the guess is wrong.

Real quoted-field handling

Fields wrapped in double quotes can contain commas, line breaks, and escaped quotes without breaking the table.

Alignment and header control

Set the column alignment to left, center, or right, and choose whether the first row becomes the table header.

Aligned, readable output

Columns are padded so the raw Markdown lines up in a plain text editor, and pipe characters inside cells are escaped for you.

Runs entirely in your browser

Your data is converted on your device and is never uploaded, so a spreadsheet full of records stays private.

About this tool

This tool turns delimited data into a GitHub-flavored Markdown table. Paste CSV or TSV and the output regenerates live as you type, with the delimiter detected from your data and an override for comma, tab, or semicolon files. Quoted fields are parsed properly, so a value wrapped in double quotes can hold commas, line breaks, and escaped quotes without splitting into extra columns. Pipe characters inside cells are escaped, and line breaks inside a cell are converted so the table stays valid.

Turn the first row into the table header, or leave it off to get generated column titles, and set every column to left, center, or right alignment. By default the columns are padded so the raw Markdown lines up neatly in a plain text editor, which makes documentation, README files, and pull request descriptions far easier to read. A live preview shows the rendered table alongside the Markdown so you can check the result before copying.

CSV and TSV are what spreadsheets and database exports produce, while Markdown tables are what README files, wikis, and issue trackers expect. To parse the same data into structured records instead, use CSV to JSON, and to preview how the finished table will render as a web page, try Markdown to HTML. Everything here runs in your browser, so your data is never uploaded.

Frequently asked questions

How does the CSV to Markdown table converter work?
Paste or type CSV or TSV and the Markdown table updates live as you type. The first row is used as the header by default, the delimiter is detected automatically, and you can copy or download the result.
Is my data uploaded anywhere?
No. Everything runs in your browser; nothing is sent to a server. Your data never leaves your device and is not stored or logged.
What delimiters are supported?
Comma, tab, and semicolon are detected automatically, so both CSV and TSV work. You can force any of the three when the automatic guess is wrong.
Does it handle commas inside quoted values?
Yes. Fields wrapped in double quotes can contain commas, line breaks, and escaped quotes, and they stay in a single column instead of splitting the row.
Can I control alignment and the header row?
Yes. Choose left, center, or right column alignment, and toggle whether the first row is treated as the header or as normal data with generated column titles.

Related tools