LaTeX to YAML Converter

About LaTeX to YAML Converter

Convert LaTeX tables to YAML (YAML Ain't Markup Language) format with automatic type detection and flexible formatting options. Perfect for configuration files, data serialization, and human-readable data storage.

Key Features

• Array of Objects: Convert to list of mappings with headers as keys
• Array of Arrays: Convert to nested lists for simple data
• Block Style: Standard YAML format with indentation
• Flow Style: Compact inline format
• Type Detection: Automatically detect numbers, booleans, null, and strings
• Smart Quoting: Only quote strings when necessary
• File Download: Save as .yaml or .yml file

How to Use

1. Input LaTeX Table: Paste your LaTeX table or upload a .tex file
2. Configure Options: Choose format style and indentation
3. Review Output: The YAML updates automatically
4. Copy or Download: Use in your configuration files

Output Formats

• Block Style (Objects): Standard YAML with key-value pairs
• Block Style (Arrays): Nested lists with indentation
• Flow Style (Objects): Compact inline objects
• Flow Style (Arrays): Compact inline arrays

Example Conversion

LaTeX Input:

\begin{tabular}{llll}
\toprule
Name & Age & City & Active \\
\midrule
John Doe & 28 & New York & true \\
Jane Smith & 34 & London & false \\
\bottomrule
\end{tabular}

YAML Output (Block Style - Objects):

- name: John Doe
  age: 28
  city: New York
  active: true
- name: Jane Smith
  age: 34
  city: London
  active: false

YAML Output (Flow Style - Objects):

[{name: John Doe, age: 28, city: New York, active: true}, {name: Jane Smith, age: 34, city: London, active: false}]

YAML Output (Block Style - Arrays):

- [Name, Age, City, Active]
- [John Doe, 28, New York, true]
- [Jane Smith, 34, London, false]

Common Use Cases

• Configuration Files: Docker Compose, Kubernetes, Ansible, CI/CD
• Data Serialization: Store structured data in human-readable format
• API Responses: Alternative to JSON for APIs
• Documentation: Embed data in documentation files
• Static Site Generators: Hugo, Jekyll front matter
• Application Settings: Store app configuration

YAML Type Detection

The converter automatically detects and formats these types:

• Integer: Whole numbers (e.g., 42, -17)
• Float: Decimal numbers (e.g., 3.14, -0.01)
• Boolean: true/false values
• Null: null values
• String: Text with smart quoting

YAML Standards

This converter generates valid YAML 1.2:

• Proper indentation and structure
• Automatic type detection
• Smart string quoting (only when needed)
• Special character escaping
• UTF-8 encoding support

Integration Examples

Python:

import yaml

with open('data.yaml', 'r') as f:
    data = yaml.safe_load(f)
    
for person in data:
    print(person['name'], person['age'])

JavaScript/Node.js:

const yaml = require('js-yaml');
const fs = require('fs');

const data = yaml.load(fs.readFileSync('data.yaml', 'utf8'));
data.forEach(person => {
  console.log(person.name, person.age);
});

Ruby:

require 'yaml'

data = YAML.load_file('data.yaml')
data.each do |person|
  puts "#{person['name']} - #{person['age']}"
end

Tips for Best Results

• Use block style for readability and editing
• Use flow style for compact, single-line output
• Enable comments for documentation purposes
• Use array of objects for structured records
• Use array of arrays for simple tabular data
• Headers will be converted to lowercase with underscores

Privacy & Security

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