LaTeX to JSON Converter

About LaTeX to JSON Converter

Convert LaTeX 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 LaTeX Table: Paste your LaTeX table or upload a .tex 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

LaTeX Input:

\begin{tabular}{llll}
\toprule
Name & Age & City & Department \\
\midrule
John Doe & 28 & New York & Engineering \\
Jane Smith & 34 & London & Marketing \\
\bottomrule
\end{tabular}

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 research 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

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'])

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

Privacy & Security

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