Markdown to CSV Converter

About Markdown to CSV Converter

Convert Markdown tables to CSV (Comma-Separated Values) format with full control over delimiters, quotes, and formatting options. Perfect for importing documentation data into spreadsheets and databases.

Key Features

• Custom Delimiters: Comma, semicolon, tab, pipe, or any custom character
• Quote Control: Customize quote character and escaping behavior
• Line Endings: Choose between LF (Unix/Mac) or CRLF (Windows)
• Header Options: Include or exclude header row
• Proper Escaping: Automatically quotes fields containing delimiters or newlines
• RFC 4180 Compliant: Follows CSV standard specifications
• File Download: Save as .csv file for Excel, Google Sheets, etc.

How to Use

1. Input Markdown Table: Paste your Markdown table or upload a .md file
2. Choose Delimiter: Select from presets or enter custom delimiter
3. Configure Options: Set quote character, line endings, and header inclusion
4. Review Output: The CSV updates automatically
5. Download or Copy: Save as .csv file or copy to clipboard

Delimiter Options

• Comma (,): Standard CSV format (most common)
• Semicolon (;): European CSV format
• Tab (\t): TSV (Tab-Separated Values) format
• Pipe (|): Alternative delimiter for data with commas
• Custom: Any character or sequence up to 5 characters

Example Conversion

Markdown Input:

| Name | Age | City | Department |
|------|-----|------|------------|
| John Doe | 28 | New York | Engineering |
| Jane Smith | 34 | London | Marketing |

CSV Output (Comma delimiter):

Name,Age,City,Department
John Doe,28,New York,Engineering
Jane Smith,34,London,Marketing

CSV Output (Tab delimiter):

Name	Age	City	Department
John Doe	28	New York	Engineering
Jane Smith	34	London	Marketing

Common Use Cases

• Excel Import: Convert Markdown tables for Microsoft Excel
• Google Sheets: Import documentation data into Google Sheets
• Database Import: Prepare data for SQL database imports
• Data Analysis: Convert documentation tables for R, Python, or MATLAB
• Documentation Migration: Move data from Markdown documents to spreadsheets

CSV Standards

This converter follows RFC 4180 CSV standards:

• Fields containing delimiters, quotes, or newlines are quoted
• Quotes within fields are escaped by doubling them
• Each record is on a separate line
• Optional header row as first line
• Consistent number of fields per record

Special Character Handling

• Delimiters in Data: Automatically quoted
• Quotes in Data: Escaped by doubling (e.g., " becomes "")
• Newlines in Data: Preserved within quoted fields
• Markdown Formatting: Stripped from cell content

FAQ

• Why do some fields appear in quotes in the CSV?

  Fields that contain the delimiter, quotes, or line breaks are wrapped in the configured quote character to keep the CSV structure valid. This follows common CSV conventions and helps spreadsheet tools parse the file correctly.

• What happens if my Markdown table is missing a header row?

  You can disable the "Include Header Row" option if your table does not represent column names in the first row. In that case, only data rows are written to the CSV.

• Does the tool auto-detect numeric or date types?

  No. All values are exported as text. Spreadsheet software like Excel or Google Sheets may infer numbers or dates when you open the CSV, but the converter itself does not enforce data types.

• How should I choose between LF and CRLF line endings?

  Use LF for Unix/Linux/macOS environments and CRLF for Windows tools that expect Windows-style newlines. Most modern applications handle either, but matching your target platform avoids surprises.

• Is my Markdown data uploaded or stored anywhere?

  No. The conversion runs entirely in your browser. Your Markdown tables are never sent to a server.

Privacy & Security

All conversions happen locally in your browser. Your Markdown data is never uploaded to any server, ensuring complete privacy and security.