Markdown to JSON Converter

About Markdown to JSON Converter

Convert Markdown tables to JSON (JavaScript Object Notation) format with flexible output structures. Perfect for web development, APIs, and data interchange.

Key Features

• Object Format: Convert to array of objects using headers as keys
• Array Format: Convert to nested arrays for simple data structures
• Pretty Printing: Format JSON with indentation for readability
• Compact Output: Minified JSON for production use
• Header Detection: Automatically use first row as object keys
• File Download: Save as .json file
• Instant Preview: Real-time conversion as you type

How to Use

1. Input Markdown Table: Paste your Markdown table or upload a .md file
2. Configure Options: Choose header treatment and formatting
3. Review Output: The JSON updates automatically
4. Copy or Download: Use the JSON in your application

Output Formats

• Array of Objects: Each row becomes an object with header keys
• Array of Arrays: Simple nested array structure
• Pretty Print: Indented and formatted for readability
• Compact: Single-line minified output

Example Conversion

Markdown Input:

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

JSON Output (Array of Objects):

[
  {
    "Name": "John Doe",
    "Age": "28",
    "City": "New York",
    "Department": "Engineering"
  },
  {
    "Name": "Jane Smith",
    "Age": "34",
    "City": "London",
    "Department": "Marketing"
  }
]

JSON Output (Array of Arrays):

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

Common Use Cases

• Web Development: Convert documentation data for JavaScript applications
• REST APIs: Prepare data for API responses
• Data Analysis: Import into JavaScript data visualization libraries
• Configuration: Create JSON config files from tables
• NoSQL Databases: Import data into MongoDB, CouchDB, etc.
• Node.js: Use data in Node.js applications
• Static Site Generators: Convert data for Jekyll, Hugo, etc.

JSON Standards

This converter generates valid JSON according to RFC 8259:

• Proper string escaping and encoding
• Valid object and array structures
• UTF-8 character encoding
• Standard formatting and indentation

Integration Examples

JavaScript:

const data = [
  {"Name": "John Doe", "Age": "28"},
  {"Name": "Jane Smith", "Age": "34"}
];

// Use in your application
data.forEach(person => {
  console.log(person.Name, person.Age);
});

Python:

import json

with open('output.json', 'r') as f:
    data = json.load(f)
    
for person in data:
    print(person['Name'], person['Age'])

Fetch API:

fetch('data.json')
  .then(response => response.json())
  .then(data => {
    data.forEach(item => console.log(item));
  });

Markdown Table Support

Supports GitHub Flavored Markdown (GFM) table syntax:

• Pipe-delimited columns
• Header separator line with dashes
• Optional column alignment indicators
• Leading and trailing pipes

Tips for Best Results

• Use header row for meaningful object keys
• Enable pretty print for development and debugging
• Use compact format for production and APIs
• Validate JSON output with online validators if needed
• Consider data types when using in typed languages
• Use descriptive header names for better object keys

Privacy & Security

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