Markdown Table to CSV Converter – Free & Instant

Turn a Markdown Table into a Clean CSV in Seconds

Paste your Markdown table above and get a properly formatted CSV file back instantly — no signup, no upload, nothing leaves your browser. It works whether you copied the table from a README, a wiki, or a docs site.

| Name    | Score | Grade |
|---------|-------|-------|
| Alice   | 95    | A     |
| Bob     | 82    | B     |

Name,Score,Grade
Alice,95,A
Bob,82,B

How to Convert Markdown to CSV

1. Copy your Markdown table — from a README, GitHub, Notion, or anywhere else.
2. Paste it into the input box above and select Markdown as the source format.
3. Choose CSV as the output format.
4. Hit Convert — the CSV appears instantly in the output panel.
5. Copy to clipboard or click Download to save the .csv file.

Worked Example: Markdown Table to CSV

Say you have this product table in a Markdown file:

| Product     | Price  | In Stock |
|-------------|--------|----------|
| Widget A    | 12.99  | Yes      |
| Gadget B    | 249.00 | No       |
| Doohickey C | 3.50   | Yes      |

After conversion, you get a clean CSV ready to open in Excel, Google Sheets, or any data tool:

Product,Price,In Stock
Widget A,12.99,Yes
Gadget B,249.00,No
Doohickey C,3.50,Yes

Notice that numeric values like 12.99 stay as numbers, not wrapped in quotes. If a cell contains a comma, the converter automatically wraps it in double quotes so the CSV stays valid.

How to Do This in Python

If you need to automate markdown table to CSV conversion in a script, here are two clean options:

Python — using the pandas library:

# Python 3 — requires: pip install pandas
import pandas as pd
import io

markdown = """
| Name  | Score |
|-------|-------|
| Alice | 95    |
| Bob   | 82    |
"""

# Strip pipe edges and split rows
lines = [l.strip() for l in markdown.strip().split('\n') if not set(l.strip()) <= set('|-: ')]
rows = [[cell.strip() for cell in line.strip('|').split('|')] for line in lines]

df = pd.DataFrame(rows[1:], columns=rows[0])
df.to_csv('output.csv', index=False)
print(df)

JavaScript — useful in Node.js or a browser script:

// Node.js or browser — no dependencies needed
function markdownTableToCsv(md) {
  const lines = md.trim().split('\n').filter(
    line => !line.replace(/[|\-: ]/g, '').length === 0 && !/^[|\s\-:]+$/.test(line)
  );
  return lines.map(line =>
    line.trim().replace(/^\|/, '').replace(/\|$/, '')
      .split('|')
      .map(cell => {
        const v = cell.trim();
        return v.includes(',') ? `"${v}"` : v;
      })
      .join(',')
  ).join('\n');
}

const md = `| Name  | Score |\n|-------|-------|\n| Alice | 95    |\n| Bob   | 82    |`;
console.log(markdownTableToCsv(md));
// Name,Score
// Alice,95
// Bob,82

For one-off conversions, the tool above is faster. Use the code route when you need to process dozens of files or embed conversion in a pipeline.

How It Works

Markdown tables follow a simple pipe-delimited syntax defined by the CommonMark spec and the GitHub Flavored Markdown (GFM) tables extension. The converter strips the pipe characters (|) and the separator row (the dashes line), then maps each remaining row to a comma-separated line.

If any cell value contains a comma, a double-quote, or a newline, it gets wrapped in double quotes — that follows the RFC 4180 CSV standard so the output is universally compatible. Numbers are kept unquoted; text with special characters is escaped correctly.

All processing runs client-side in your browser. Your table data is never sent to a server, so confidential or work data stays private.

When to Use This Tool (and When to Use Something Else)

Related Tools You Might Need

• After exporting JSON data, clean it up with the JSON Beautifier — Format, Validate & Minify JSON Online.
• Check your converted output is valid with the JSON Validator — Check & Fix JSON Errors Online.
• Need a compact version of a JSON export? Try the JSON Minifier — Compress & Minify JSON Online.

Takeaway: If you have a Markdown table and need a spreadsheet-ready CSV, paste it into the converter above and download your file in a few seconds — no account required.