Convert ORG to YML

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ORG vs YML Format Comparison

Aspect ORG (Source Format) YML (Target Format)
Format Overview
ORG
Emacs Org-mode

A plain-text markup language created for GNU Emacs. Org-mode provides a rich system for note-taking, project planning, task management, and document authoring. It uses a hierarchical outline structure with headings, lists, tables, and metadata properties. Widely adopted by developers and researchers for organizing knowledge.

Outline Format Emacs Ecosystem
YML
YAML Ain't Markup Language

A human-readable data serialization standard commonly used for configuration files, data exchange, and structured data storage. YML (YAML) uses indentation to represent hierarchy, making it clean and easy to read. It is widely used in DevOps, CI/CD pipelines, Docker, Kubernetes, and application configuration.

Data Serialization Configuration
Technical Specifications
Structure: Hierarchical outline with headings (* syntax)
Encoding: UTF-8 plain text
Format: Plain text with lightweight markup
Compression: None
Extensions: .org
Structure: Indentation-based key-value hierarchy
Encoding: UTF-8 (recommended)
Format: Data serialization language
Compression: None
Extensions: .yml, .yaml
Syntax Examples

ORG uses asterisks for headings and plain-text markup:

#+TITLE: Project Notes
#+AUTHOR: Jane Doe

* Introduction
  Some introductory text.

** Sub-section
   - Item one
   - Item two

* Tasks
** TODO Write report
   DEADLINE: <2026-04-01>

YML uses indentation and key-value pairs:

title: Project Notes
author: Jane Doe

sections:
  - name: Introduction
    content: Some introductory text.
    subsections:
      - name: Sub-section
        items:
          - Item one
          - Item two

tasks:
  - title: Write report
    status: TODO
    deadline: "2026-04-01"
Content Support
  • Hierarchical headings (unlimited depth)
  • TODO/DONE task states
  • Tags and properties
  • Tables with spreadsheet formulas
  • Source code blocks
  • LaTeX math expressions
  • Timestamps and scheduling
  • Internal links and references
  • Drawers and metadata
  • Key-value mappings
  • Nested sequences (lists)
  • Multi-line strings (block scalars)
  • Anchors and aliases (references)
  • Type casting (strings, numbers, booleans)
  • Multiple documents per file
  • Comments
  • Null values
Advantages
  • Powerful outline and task management
  • Built-in agenda and scheduling
  • Literate programming support
  • Export to HTML, PDF, LaTeX
  • Spreadsheet-like tables
  • Deep Emacs integration
  • Highly readable by humans
  • Universally supported in DevOps tools
  • Native data type representation
  • Superset of JSON
  • Compact and clean syntax
  • Excellent library support across languages
  • Industry standard for configuration
Disadvantages
  • Requires Emacs for full functionality
  • Complex syntax for advanced features
  • Limited tooling outside Emacs
  • Not a standard data exchange format
  • Steep learning curve
  • Indentation-sensitive (whitespace errors)
  • No native document formatting
  • Multiple specification versions
  • Security concerns with arbitrary code execution
  • No built-in schema validation
  • Tab characters not allowed for indentation
Common Uses
  • Personal knowledge management
  • Project planning and task tracking
  • Research notes and papers
  • Literate programming notebooks
  • Time tracking and agendas
  • CI/CD pipelines (GitHub Actions, GitLab CI)
  • Kubernetes manifests
  • Docker Compose files
  • Application configuration
  • Ansible playbooks
  • API specifications (OpenAPI/Swagger)
Best For
  • Emacs users and power users
  • Hierarchical note-taking
  • Task and project management
  • Academic writing and research
  • Configuration management
  • Infrastructure as code
  • Data serialization
  • DevOps and automation workflows
Version History
Introduced: 2003 (Carsten Dominik)
Current Version: Org 9.x (continually updated)
Status: Actively maintained
Evolution: Part of GNU Emacs since 2006
Introduced: 2001 (Clark Evans)
Current Version: YAML 1.2 (2009)
Status: Stable, widely adopted
Evolution: YAML 1.2 aligned with JSON
Software Support
Emacs: Full native support (Org-mode)
VS Code: Extensions available (Org Mode)
Vim/Neovim: vim-orgmode, nvim-orgmode
Other: Logseq, Organice (web)
Python: PyYAML, ruamel.yaml
JavaScript: js-yaml, yaml
Ruby: Psych (built-in)
Other: All major languages have YAML parsers

Why Convert ORG to YML?

Converting Org-mode files to YML (YAML) format bridges the gap between personal knowledge management and machine-readable structured data. Org-mode excels at organizing thoughts, tasks, and notes in a human-friendly outline, but when you need to feed that structured information into automated pipelines, configuration systems, or data processing tools, YAML is the industry standard.

Org-mode documents inherently contain structured data: headings form a hierarchy, properties define key-value pairs, and TODO states represent workflow stages. This hierarchical structure maps naturally to YAML's indentation-based nesting. By converting ORG to YML, you can extract project plans into CI/CD configurations, turn research notes into structured datasets, or transform task lists into automation workflows.

YAML has become the de facto standard for DevOps and infrastructure configuration. Tools like Kubernetes, Docker Compose, Ansible, GitHub Actions, and GitLab CI all use YAML as their primary configuration format. Converting your Org-mode project plans and documentation into YAML enables direct integration with these tools, eliminating manual transcription and reducing errors.

The conversion process intelligently maps Org-mode elements to their YAML equivalents: headings become nested keys, lists become YAML sequences, property drawers become key-value mappings, and TODO items become structured task objects with status fields. This preserves the semantic meaning of your Org-mode content while making it accessible to any YAML-compatible tool or programming language.

Key Benefits of Converting ORG to YML:

  • DevOps Integration: Use Org-mode plans directly in CI/CD pipelines and infrastructure tools
  • Data Portability: YAML is supported by virtually every programming language and platform
  • Structured Data Extraction: Convert outlines into machine-readable hierarchical data
  • Configuration Generation: Transform project notes into application or service configurations
  • API Compatibility: YAML output can be used with OpenAPI, Swagger, and other API specs
  • Automation Ready: Feed structured data into Ansible, Kubernetes, or custom automation scripts
  • Cross-Platform Access: YAML files work everywhere without requiring Emacs

Practical Examples

Example 1: Project Plan to Configuration

Input ORG file (project.org):

#+TITLE: Web Application
#+AUTHOR: Dev Team

* Backend
  :PROPERTIES:
  :language: Python
  :framework: Django
  :END:
** TODO Set up database
   DEADLINE: <2026-03-15>
** DONE Create API endpoints

* Frontend
  :PROPERTIES:
  :language: JavaScript
  :framework: React
  :END:
** TODO Build dashboard
** TODO Add authentication

Output YML file (project.yml):

title: Web Application
author: Dev Team

sections:
  - name: Backend
    properties:
      language: Python
      framework: Django
    tasks:
      - title: Set up database
        status: TODO
        deadline: "2026-03-15"
      - title: Create API endpoints
        status: DONE

  - name: Frontend
    properties:
      language: JavaScript
      framework: React
    tasks:
      - title: Build dashboard
        status: TODO
      - title: Add authentication
        status: TODO

Example 2: Research Notes to Structured Data

Input ORG file (research.org):

#+TITLE: Database Comparison

* PostgreSQL
  - Open source relational database
  - ACID compliant
  - Supports JSON and full-text search
  :PROPERTIES:
  :license: PostgreSQL License
  :latest_version: 16
  :END:

* MongoDB
  - NoSQL document database
  - Schema-less design
  - Horizontal scaling support
  :PROPERTIES:
  :license: SSPL
  :latest_version: 7
  :END:

Output YML file (research.yml):

title: Database Comparison

databases:
  - name: PostgreSQL
    features:
      - Open source relational database
      - ACID compliant
      - Supports JSON and full-text search
    properties:
      license: PostgreSQL License
      latest_version: 16

  - name: MongoDB
    features:
      - NoSQL document database
      - Schema-less design
      - Horizontal scaling support
    properties:
      license: SSPL
      latest_version: 7

Example 3: Task List to CI/CD Pipeline Data

Input ORG file (deploy.org):

#+TITLE: Deployment Checklist

* Build Stage
  - Compile source code
  - Run unit tests
  - Generate documentation

* Test Stage
  - Integration tests
  - Security scan
  - Performance benchmarks

* Deploy Stage
  - Push to staging
  - Run smoke tests
  - Promote to production

Output YML file (deploy.yml):

title: Deployment Checklist

stages:
  - name: Build Stage
    steps:
      - Compile source code
      - Run unit tests
      - Generate documentation

  - name: Test Stage
    steps:
      - Integration tests
      - Security scan
      - Performance benchmarks

  - name: Deploy Stage
    steps:
      - Push to staging
      - Run smoke tests
      - Promote to production

Frequently Asked Questions (FAQ)

Q: What is Org-mode format?

A: Org-mode is a plain-text markup format originally created for GNU Emacs. It uses a hierarchical outline structure with asterisks (*) for headings, supports TODO items, tags, properties, tables, and code blocks. Org-mode files (.org) are widely used for note-taking, project planning, literate programming, and document authoring. While it originated in Emacs, many other editors now support Org-mode syntax.

Q: What is YML (YAML) format?

A: YML (YAML Ain't Markup Language) is a human-readable data serialization format that uses indentation to represent hierarchical structure. It supports key-value pairs, lists, nested objects, and multiple data types. YAML is widely used for configuration files in tools like Docker Compose, Kubernetes, Ansible, GitHub Actions, and many application frameworks. The .yml and .yaml extensions are interchangeable.

Q: How does the ORG to YML conversion work?

A: The converter parses the Org-mode document structure and maps it to YAML equivalents. Headings become nested keys or named objects, plain lists become YAML sequences, property drawers become key-value mappings, and TODO items are converted to structured task objects with status fields. Metadata like #+TITLE and #+AUTHOR become top-level YAML keys. The hierarchical nature of Org-mode maps naturally to YAML's indentation-based nesting.

Q: Will my Org-mode properties be preserved?

A: Yes! Org-mode property drawers (:PROPERTIES: ... :END:) are converted to YAML key-value mappings. Each property becomes a key-value pair in the YAML output. Tags attached to headings are preserved as YAML lists. TODO states are mapped to status fields. The hierarchical structure of your Org-mode document is faithfully represented in the YAML output.

Q: Can I use the YML output directly in DevOps tools?

A: The converted YML file contains valid, well-structured YAML that can be read by any YAML parser. However, specific DevOps tools (Kubernetes, Docker Compose, Ansible) expect particular schemas and key names. The raw conversion preserves the content structure, but you may need to adjust key names and organize sections to match the specific schema required by your target tool.

Q: Are Org-mode tables converted to YAML?

A: Yes, Org-mode tables are converted to YAML sequences of mappings. Each row becomes an item in a YAML list, with column headers used as keys. For example, a two-column Org table with headers "Name" and "Value" would produce a list of objects, each containing "name" and "value" keys. Complex tables with formulas will have the raw data extracted.

Q: What happens to Org-mode code blocks during conversion?

A: Source code blocks (#+BEGIN_SRC ... #+END_SRC) are preserved in the YAML output using multi-line string syntax (block scalars with the | or > indicators). The programming language specified in the code block is stored as a separate key, so both the code content and its language metadata are retained in the converted YML file.

Q: Is there a difference between .yml and .yaml file extensions?

A: No, .yml and .yaml are functionally identical. Both extensions are recognized by all YAML parsers and tools. The .yml extension is more commonly used in practice (e.g., docker-compose.yml, .gitlab-ci.yml), while .yaml is the extension recommended by the official YAML specification. Our converter uses .yml by default, but the output is valid for either extension.