CSV to Markdown Table Converter

Convert CSV data to Markdown tables and Markdown tables back to CSV.

CSV Input
Markdown Output

What Is a CSV to Markdown Table Converter?

A CSV to Markdown table converter transforms comma-separated values (CSV) into the pipe-delimited table syntax used by Markdown. The result renders as a formatted table in GitHub READMEs, GitLab wikis, Notion pages, Obsidian notes, and any other Markdown-aware editor. The reverse direction — Markdown table to CSV — strips the pipe syntax and produces clean CSV output ready for spreadsheets or data pipelines.

How to Use the CSV ↔ Markdown Table Converter

  1. Select the conversion direction: CSV → Markdown or Markdown → CSV.
  2. Paste your CSV data or Markdown table into the left panel, or click Load Sample to try an example.
  3. Click Convert. The result appears in the right panel.
  4. Click Copy to copy the output to your clipboard.

Features

  • Bidirectional conversion: CSV → Markdown and Markdown → CSV
  • Handles quoted CSV fields containing commas or embedded double quotes (RFC 4180)
  • Automatically generates the separator row (| --- |) from the header
  • Strips separator rows when converting Markdown back to CSV
  • One-click copy to clipboard
  • Runs entirely in your browser — no server, no uploads

FAQ

What is a Markdown table?

A Markdown table uses pipe characters (|) to separate columns and a separator row of dashes (---) to divide the header from the body. Most Markdown renderers — GitHub, GitLab, Notion, Obsidian — display these as formatted HTML tables.

Does the converter handle quoted CSV fields?

Yes. Fields wrapped in double quotes — including those containing commas or embedded quotes — are parsed correctly per RFC 4180.

Can I convert a Markdown table back to CSV?

Yes. Switch to the Markdown → CSV tab, paste your Markdown table, and click Convert. The tool strips the pipe syntax and outputs clean comma-separated values.

Is my data sent to a server?

No. All conversion happens in your browser. No data is uploaded or stored anywhere.