Table Data ExtractorJSON • CSV • TSV

Markdown Table to JSON Converter

Extract structured data from Markdown tables into formatted JSON arrays of objects, CSV, or TSV spreadsheets.

Markdown Table
GFM Pipe Table syntax6 rows
Extracted JSON
Formatted • Ready for code or APIs630 characters
Complete Guide & Overview

Extract JSON & CSV from Markdown Tables Online

Convert any GitHub Flavored Markdown table into a clean JSON array of objects, CSV, or TSV. Parses pipe-delimited tables and extracts column headers into structured JSON keys directly in your browser.

How to Use the Markdown Table to JSON

1

Paste Markdown Table

Paste any GFM pipe-delimited table from READMEs, documentation, or Notion exports.

2

Choose Output Format

Select JSON, CSV, or TSV using the format toggle at the top right.

3

Copy or Download

Click 'Copy JSON' to paste into your codebase or 'Download' to save the file.

Key Features & Capabilities

Smart Schema Extraction: Automatically maps table header cells into JSON object keys.
Multi-Format Export: Export to JSON array of objects, CSV spreadsheet, or tab-delimited TSV.
Handles Complex Cell Content: Cleans pipe dividers, escaped characters, and trims whitespace.
One-Click Copy & Save: Download as .json or copy to clipboard for database seeds or mock data.
100% Client-Side: Zero network requests, safe for sensitive business datasets and credentials.

Pro Tips & Best Practices

  • •Use this tool to convert GitHub README comparison tables into mock JSON fixtures for unit tests.

Frequently Asked Questions

How does the tool map column headers?

The first row of the Markdown table is treated as the schema keys. Each subsequent row becomes an object in the JSON array with key-value pairs matching those columns.

Does it support tables with alignment colons (e.g. :---:)?

Yes, the separator row (| :--- | :---: | ---: |) is automatically recognized and skipped during data extraction.

Can I convert back to Markdown later?

Yes! You can use our companion tool 'JSON to Markdown' to convert any JSON dataset back into a Markdown table.