CSV to Markdown Converter

Transform messy CSV data into clean, formatted Markdown tables for your documentation.

Input CSV

Align:

Markdown Output

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Why Use This Tool?

Comma Separated Values (CSV) are the universal standard for spreadsheet data, but they look terrible in documentation. Markdown tables are beautiful and widely supported (GitHub, Reddit, Discord), but creating them by hand is a nightmare of pipes | and dashes -.

Our tool bridges this gap. It allows you to instantly convert data from Excel, Google Sheets, or raw CSV files into perfectly formatted Markdown tables.

How to Use

  1. Prepare Data: Copy cells from Excel or open your `.csv` file.
  2. Paste or Upload: Paste into the Input box or use the "Upload File" button.
  3. Customize: Use the "Align" dropdown to center or right-align numerical columns.
  4. Export: Click "Copy" to put the code on your clipboard or "Download" to save a `.md` file.

Best Practices for Markdown Tables

  • Keep it Simple: Markdown tables aren't meant for complex layouts. Avoid merging cells or massive paragraphs.
  • Alignment Matters: Right-align financial or numerical data (---:) for better readability.
  • Escape Characters: Our tool automatically handles pipes | inside your content so the table doesn't break.

Frequently Asked Questions

Is my data secure?

Yes. This tool runs Client-Side using JavaScript. Your data never leaves your browser and is never sent to our servers. It is safe to use with sensitive internal data.

Can I convert back from Markdown to CSV?

Currently, this tool is one-way (CSV -> MD). However, you can often just copy a Markdown table and paste it into Excel/Sheets directly.

How do I align text in the table?

Use the "Align" dropdown menu. This changes the separator row (e.g., :--- for Left, :---: for Center, ---: for Right). Note that this applies to the whole table in this simple tool.

What happens if my CSV has commas in the text?

Standard CSVs put quotes around text containing commas (e.g., "Doe, John"). Our parser is smart enough to handle these correctly without breaking the columns.

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