Convert Markdown to YML

Why Convert Markdown to YML?

Converting Markdown to YML is valuable when you need to transform documentation content into structured configuration data. The .yml extension is the most common file extension used by DevOps tools like Docker Compose (docker-compose.yml), GitHub Actions (.github/workflows/*.yml), GitLab CI (.gitlab-ci.yml), and Travis CI (.travis.yml).

YML files use the YAML data serialization format with the abbreviated .yml extension. While .yaml is the officially recommended extension, .yml has become the de facto standard in many tools and frameworks. Docker Compose, GitHub Actions, and Ruby on Rails all default to the .yml extension, making it the more commonly encountered variant.

The conversion process extracts the hierarchical structure from Markdown documents -- headings become keys, lists become sequences, paragraphs become string values -- and organizes them into clean YML format. This is useful for generating configuration templates from documentation, creating front matter for static sites, or migrating content to YAML-based systems.

Key Benefits of Converting Markdown to YML:

• Docker Compose: Generate service definitions from documentation
• GitHub Actions: Create workflow files from runbook documentation
• CI/CD Pipelines: Transform build docs into pipeline configuration
• Static Sites: Generate front matter for Jekyll, Hugo, Eleventy
• Configuration Files: Extract settings from documentation into config
• Ansible Playbooks: Create automation from operational docs
• Data Extraction: Convert document structure to machine-readable format

Practical Examples

Example 1: Service Documentation to YML

Input Markdown file (services.md):

# Application Services

## Web Server
- Port: 8080
- Framework: Django
- Workers: 4

## Database
- Engine: PostgreSQL
- Port: 5432

Output YML file (services.yml):

document:
  title: "Application Services"
  sections:
    - heading: "Web Server"
      items:
        - "Port: 8080"
        - "Framework: Django"
        - "Workers: 4"
    - heading: "Database"
      items:
        - "Engine: PostgreSQL"
        - "Port: 5432"

Example 2: Build Pipeline Documentation

Input Markdown file (pipeline.md):

# CI/CD Pipeline

## Build Steps
1. Install dependencies
2. Run linter
3. Run tests
4. Build Docker image

## Deploy
Target: production
Region: us-east-1

Output YML file (pipeline.yml):

document:
  title: "CI/CD Pipeline"
  sections:
    - heading: "Build Steps"
      items:
        - "Install dependencies"
        - "Run linter"
        - "Run tests"
        - "Build Docker image"
    - heading: "Deploy"
      content: "Target: production\nRegion: us-east-1"

Example 3: Project Metadata

Input Markdown file (about.md):

# ConvertMe

A file conversion web service.

## Technologies
- Python
- Django
- JavaScript

## Status
Active development

Output YML file (about.yml):

title: "ConvertMe"
description: "A file conversion web service."
technologies:
  - "Python"
  - "Django"
  - "JavaScript"
status: "Active development"

Frequently Asked Questions (FAQ)

Q: What is the difference between YML and YAML?

A: There is no functional difference. YML (.yml) and YAML (.yaml) are the same format with different file extensions. The .yml extension is a common abbreviation used by tools like Docker Compose, GitHub Actions, and GitLab CI. The YAML specification officially recommends .yaml, but .yml is more widely used in practice, especially in DevOps tooling.

Q: Why use .yml instead of .yaml?

A: Many popular tools default to .yml: Docker Compose uses docker-compose.yml, GitHub Actions requires .yml in workflow files, GitLab CI uses .gitlab-ci.yml, Travis CI uses .travis.yml, and Ruby on Rails uses database.yml. Using .yml ensures compatibility with these tools and follows established conventions.

Q: How is Markdown content structured in YML?

A: Markdown headings become YML keys, lists become sequences (arrays), paragraphs are stored as string values, and tables become lists of mappings. The document hierarchy is preserved through YML's indentation-based nesting. Multi-line content uses literal (|) or folded (>) block scalar syntax.

Q: Can I use the YML output with Docker Compose?

A: The converted YML file contains structured data extracted from your Markdown document. While it follows proper YML syntax, you would need to adjust the structure to match Docker Compose's specific schema (services, networks, volumes). The conversion provides a starting point for creating Docker Compose configurations from documentation.

Q: Is whitespace important in YML files?

A: Yes, indentation is critical in YML/YAML. YML uses spaces (never tabs) for indentation, and the indentation level determines the data hierarchy. Incorrect indentation will cause parsing errors. The converter produces properly indented output that follows YML best practices.

Q: Can GitHub Actions use the converted YML?

A: GitHub Actions workflow files must follow a specific schema with required keys like name, on, and jobs. The converter creates properly formatted YML that can serve as a starting point, but you would need to ensure the structure matches the GitHub Actions workflow specification for actual CI/CD use.

Q: How are special characters handled in YML?

A: Special characters in YML values are handled through quoting. Strings containing colons, special YAML characters, or leading spaces are quoted with double or single quotes. The converter automatically applies proper quoting to ensure the output is valid, parseable YML.

Q: Can I convert YML back to Markdown?

A: Yes, you can use our YML to Markdown converter for the reverse conversion. The process will reconstruct document structure from the YML data, converting keys to headings, sequences to lists, and string values to paragraphs. Some structural nuances may differ from the original Markdown.