Convert MD to YAML
Max file size 100mb.
MD vs YAML Format Comparison
| Aspect | MD (Source Format) | YAML (Target Format) |
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| Format Overview |
Markdown
Lightweight Markup Language
Plain text formatting syntax created by John Gruber in 2004 that uses special characters (*, #, [], (), etc.) to denote formatting. Widely used for README files, documentation, blogs, and note-taking. Human-readable even in raw form. Markup Language Documentation |
YAML
YAML Ain't Markup Language
Human-readable data serialization format designed for configuration files and data exchange. Created in 2001, widely adopted in DevOps tools like Docker Compose, Kubernetes, Ansible, GitHub Actions, and CI/CD pipelines. Uses indentation (spaces, not tabs) for structure. Configuration Format DevOps Standard |
| Technical Specifications |
Structure: Plain text with markup syntax
Encoding: UTF-8 (typically) Features: Headers, lists, links, code blocks Compatibility: High (GitHub, GitLab, static sites) Extensions: .md, .markdown |
Structure: Indentation-based key-value pairs
Encoding: UTF-8 Features: Maps, sequences, scalars, anchors Compatibility: Universal (all DevOps tools) Extensions: .yaml, .yml |
| Syntax Examples |
# Header 1## Header 2**bold text***italic text*[link](url)- list item`code````code block```
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key: valuenumber: 123list: - item1 - item2object: nested: truemultiline: |
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| Conversion Process |
Markdown document contains:
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Our converter creates:
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| Programming Support |
Libraries: marked.js, markdown-it, showdown
Python: markdown, mistune, python-markdown Parsers: CommonMark, GFM parsers Editors: Typora, Obsidian, VS Code |
Libraries: js-yaml, yaml (Node.js)
Python: PyYAML, ruamel.yaml Parsers: YAML 1.2 spec compliant Editors: VS Code, IntelliJ IDEA |
Why Convert Markdown to YAML?
Converting Markdown files to YAML format is essential when you need to integrate your documentation or content into DevOps workflows, configuration management systems, or infrastructure-as-code pipelines. When you convert MD to YAML, the Markdown content is wrapped in a structured YAML document that can be easily parsed by automation tools, version-controlled alongside your infrastructure code, or processed by CI/CD systems. YAML's human-readable format and widespread adoption in the DevOps ecosystem make it the perfect choice for storing Markdown content that needs to be managed, deployed, or processed by modern automation tools.
Markdown is excellent for writing documentation, but when you need to include that documentation in Docker Compose files, Kubernetes ConfigMaps, Ansible playbooks, GitHub Actions workflows, or GitLab CI pipelines, YAML provides the ideal container format. The YAML wrapper preserves your Markdown text while adding the structure and metadata needed for configuration management and automation. This is particularly valuable for infrastructure documentation, deployment guides, runbooks, or any content that needs to be embedded in YAML-based configuration files alongside your infrastructure definitions.
Our converter creates clean, valid YAML output with your Markdown content stored as a string value using YAML's literal block scalar syntax (|). The resulting YAML includes a "content" field containing your full Markdown text and a "format" field indicating it's Markdown data. This structure makes it easy to embed documentation in ConfigMaps, store multiple documents in a single YAML file, or integrate with existing YAML-based systems. The output follows YAML 1.2 specification and can be immediately parsed by any YAML library in any programming language.
The conversion is perfect for scenarios where you're building GitOps workflows, creating Kubernetes documentation ConfigMaps, embedding README content in Helm charts, storing documentation in Ansible variables, or building CI/CD pipelines that need to access documentation content. YAML's comment support, multi-line strings, and indentation-based structure ensure your content is portable, automation-friendly, and ready for integration with cloud-native technologies while preserving the original Markdown formatting for rendering.
Key Benefits of Converting Markdown to YAML:
- DevOps Ready: Perfect for Docker Compose, Kubernetes, Ansible, and CI/CD
- Configuration Management: Embed docs in ConfigMaps, Helm values, or deployment configs
- Human-Readable: YAML's clean syntax keeps documentation accessible
- Comments Allowed: Add YAML comments alongside your Markdown content
- Multi-line Support: Literal block scalars preserve exact Markdown formatting
- GitOps Friendly: Version control your docs with infrastructure code
Practical Examples
Example 1: Kubernetes ConfigMap
Input Markdown file (deployment-guide.md):
# Deployment Guide ## Prerequisites - Kubernetes cluster v1.28+ - kubectl installed - Helm v3 ## Deployment Steps 1. Clone the repository 2. Configure values.yaml 3. Run `helm install myapp ./chart`
Output YAML file (deployment-guide.yaml) - Ready for ConfigMap:
content: | # Deployment Guide ## Prerequisites - Kubernetes cluster v1.28+ - kubectl installed - Helm v3 ## Deployment Steps 1. Clone the repository 2. Configure values.yaml 3. Run `helm install myapp ./chart` format: markdown
Example 2: Docker Compose Documentation
Input Markdown file (services.md):
# Service Architecture ## Web Service Frontend built with **React**. ## API Service Backend built with **Node.js** and Express. ## Database PostgreSQL 15 with persistent volumes.
Output YAML file (services.yaml) - Embed in docker-compose.yml:
content: | # Service Architecture ## Web Service Frontend built with **React**. ## API Service Backend built with **Node.js** and Express. ## Database PostgreSQL 15 with persistent volumes. format: markdown
Example 3: GitHub Actions Workflow Documentation
Input Markdown file (workflow-docs.md):
# CI/CD Pipeline ## Triggers - Push to `main` branch - Pull requests - Manual dispatch ## Jobs 1. **Build** - Compile and test 2. **Deploy** - Deploy to staging 3. **Notify** - Send Slack notification
Output YAML file (workflow-docs.yaml) - Store with GitHub Actions:
content: | # CI/CD Pipeline ## Triggers - Push to `main` branch - Pull requests - Manual dispatch ## Jobs 1. **Build** - Compile and test 2. **Deploy** - Deploy to staging 3. **Notify** - Send Slack notification format: markdown
Frequently Asked Questions (FAQ)
Q: What is YAML format?
A: YAML (YAML Ain't Markup Language) is a human-readable data serialization format commonly used for configuration files. It's the industry standard for DevOps tools like Docker Compose, Kubernetes, Ansible, GitHub Actions, GitLab CI, CircleCI, and many others. YAML uses indentation (spaces, not tabs) to represent data structure.
Q: Is the Markdown content preserved in YAML?
A: Yes! The full Markdown content is preserved using YAML's literal block scalar syntax (|). The output includes a "content" field with your complete Markdown text and a "format" field indicating it's Markdown. The literal block scalar preserves exact formatting including newlines, indentation, and all Markdown syntax.
Q: Can I use this in Kubernetes ConfigMaps?
A: Absolutely! The YAML output is perfect for Kubernetes ConfigMaps. You can embed the entire YAML structure in a ConfigMap's data section, then mount it in your pods. This is ideal for storing deployment documentation, runbooks, or user guides alongside your application configuration.
Q: Why convert to YAML instead of JSON?
A: YAML is preferred in DevOps because it's more human-readable (no curly braces), supports comments, handles multi-line strings better with literal block scalars, and is the standard format for Docker Compose, Kubernetes, Ansible, and CI/CD tools. JSON is better for APIs, while YAML excels at configuration.
Q: Can I use this with Docker Compose?
A: Yes! You can embed this YAML structure in your docker-compose.yml file as labels, environment variables, or in separate documentation sections. This is particularly useful for including service documentation, deployment instructions, or architectural notes directly in your Docker Compose configuration.
Q: How do I use this with Ansible?
A: The YAML output can be used directly in Ansible playbooks, roles, or variable files. You can store Markdown documentation in Ansible variables and access it in templates, use it in debug messages, or include it in generated configuration files. Perfect for self-documenting infrastructure code.
Q: Can I add more fields to the YAML?
A: Yes! Once you have the YAML file, you can easily add more fields like title, author, version, tags, or any metadata. Just open the YAML in any editor and add key-value pairs at the same level as "content" and "format". YAML's flexible structure makes it easy to extend.
Q: Is the conversion secure?
A: Yes! Conversion happens on our secure servers. Files are processed immediately and automatically deleted after a short period. We don't store or access your document content.