Convert YAML to Textile

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YAML vs Textile Format Comparison

Aspect YAML (Source Format) Textile (Target Format)
Format Overview
YAML
YAML Ain't Markup Language

Human-readable data serialization format widely used for configuration files, data exchange, and infrastructure-as-code. Uses indentation-based structure with key-value pairs, lists, and nested objects. Known for its clean, minimal syntax.

Data Format Human-Readable
Textile
Textile Markup Language

Lightweight markup language created by Dean Allen in 2002 for formatting text into HTML. Textile uses intuitive syntax like *bold* for strong text and _italic_ for emphasis. It is the native markup format for Redmine project management and the Textpattern CMS, providing a simpler alternative to writing raw HTML.

Lightweight Markup Web Publishing
Technical Specifications
Standard: YAML 1.2 (2009)
Encoding: UTF-8
Format: Indentation-based hierarchy
Data Types: Strings, numbers, booleans, null, sequences, mappings
Extension: .yaml, .yml
Standard: Textile markup (Dean Allen, 2002)
Encoding: UTF-8
Format: Inline markup with special characters
Output: Converts to HTML for web display
Extension: .textile
Syntax Examples

YAML uses indentation for structure:

name: My Project
version: "2.0"
features:
  - fast
  - free
database:
  host: localhost
  port: 5432

Textile uses inline markup characters:

h1. My Project

*Version:* 2.0

h2. Features

* fast
* free

h2. Database

|_. Key |_. Value |
| host | localhost |
| port | 5432 |
Content Support
  • Key-value pairs
  • Nested objects (maps)
  • Lists and sequences
  • Multi-line strings
  • Anchors and aliases (references)
  • Comments
  • Multiple documents in one file
  • Type casting
  • Headings (h1. through h6.)
  • Bold (*text*) and italic (_text_)
  • Ordered and unordered lists
  • Tables with header rows
  • Links and images
  • Block quotes and code blocks
  • Footnotes and references
  • CSS class and ID attributes
Advantages
  • Very human-readable
  • Minimal syntax overhead
  • Wide language support (Python, Ruby, JS, Go)
  • Standard for DevOps tools (Docker, Kubernetes, Ansible)
  • Supports complex data structures
  • Comments support
  • Intuitive, easy-to-learn syntax
  • Native support in Redmine and Textpattern
  • Produces clean, semantic HTML output
  • Supports inline CSS styling
  • Table syntax more powerful than Markdown
  • Readable as plain text without rendering
Disadvantages
  • Indentation-sensitive (spaces matter)
  • No visual formatting
  • Complex nesting can be hard to read
  • Tab characters not allowed
  • Security concerns with arbitrary code execution
  • Smaller community than Markdown
  • Limited platform support outside Redmine/Textpattern
  • No standardized specification
  • Fewer editor plugins and tooling
  • Can conflict with natural punctuation in text
Common Uses
  • Configuration files (Docker, Kubernetes, CI/CD)
  • Infrastructure as Code (Ansible, Terraform)
  • API specifications (OpenAPI/Swagger)
  • Data serialization and exchange
  • Static site generators (Jekyll, Hugo)
  • Redmine wiki pages and issue descriptions
  • Textpattern CMS content authoring
  • Documentation in Textile-compatible systems
  • Quick HTML content generation
  • Formatted README files for Ruby projects
Best For
  • Application configuration
  • DevOps and CI/CD pipelines
  • Structured data storage
  • Cross-language data exchange
  • Redmine project documentation
  • Textpattern CMS publishing
  • Quick formatted web content
  • Teams using Textile-based workflows
Version History
Introduced: 2001 (Clark Evans, Oren Ben-Kiki, Ingy dot Net)
YAML 1.0: 2004
YAML 1.1: 2005
YAML 1.2: 2009 (current standard)
Introduced: 2002 (Dean Allen)
Platform: Originally for Textpattern CMS
Adoption: Redmine (2006+), various Ruby tools
Status: Stable, niche adoption in Redmine/Textpattern
Software Support
Python: PyYAML, ruamel.yaml
JavaScript: js-yaml
Ruby: Psych (built-in)
Go: gopkg.in/yaml.v3
Ruby: RedCloth (reference implementation)
Python: textile (PyPI package)
PHP: Textile (Textpattern built-in)
Platforms: Redmine, Textpattern, Basecamp (legacy)

Why Convert YAML to Textile?

Converting YAML to Textile allows you to transform structured data into formatted, human-readable markup that can be directly used in Redmine, Textpattern, and other Textile-compatible platforms. When your project data, configuration, or documentation is stored in YAML, converting to Textile produces properly formatted content with headings, lists, tables, and emphasis that renders beautifully as HTML on the web.

This conversion is especially useful for teams that use Redmine for project management. YAML data files -- such as release notes, configuration summaries, or deployment specifications -- can be automatically converted to Textile format and pasted directly into Redmine wiki pages or issue descriptions. This eliminates the need to manually reformat data and ensures consistency across documentation.

Our converter intelligently maps YAML structures to Textile markup elements. Top-level keys become headings (h1., h2.), nested key-value pairs are rendered as definition-style paragraphs with bold labels, sequences become bullet lists, and tabular data is formatted using Textile's table syntax with header rows. The output is clean, readable Textile that works in any Textile processor.

Key Benefits of Converting YAML to Textile:

  • Redmine Integration: Generate Textile content ready for Redmine wiki pages and issue tracking
  • Textpattern Publishing: Create CMS-ready content from YAML data sources
  • Readable Output: Textile markup is readable as plain text and renders as formatted HTML
  • Table Generation: YAML mappings are converted to Textile tables with header rows
  • List Formatting: YAML sequences become properly formatted bullet or numbered lists
  • Documentation Automation: Generate formatted documentation from YAML config files automatically
  • Free Online Tool: No software installation required -- convert directly in your browser

Practical Examples

Example 1: Release Notes

Input YAML file (release.yaml):

release: v2.5.0
date: 2024-10-01
changes:
  features:
    - Added batch file conversion
    - New drag-and-drop upload interface
  bugfixes:
    - Fixed timeout on large files
    - Resolved encoding issues with UTF-8

Output Textile file (release.textile):

h1. Release v2.5.0

*Date:* 2024-10-01

h2. Features

* Added batch file conversion
* New drag-and-drop upload interface

h2. Bugfixes

* Fixed timeout on large files
* Resolved encoding issues with UTF-8

Example 2: Team Directory

Input YAML file (team.yaml):

team: Backend Engineering
members:
  - name: Alice Johnson
    role: Tech Lead
    location: New York
  - name: Bob Smith
    role: Senior Developer
    location: London
  - name: Carol Davis
    role: Developer
    location: Berlin

Output Textile file (team.textile):

h1. Backend Engineering

h2. Team Members

|_. Name |_. Role |_. Location |
| Alice Johnson | Tech Lead | New York |
| Bob Smith | Senior Developer | London |
| Carol Davis | Developer | Berlin |

Example 3: Server Configuration Summary

Input YAML file (server.yaml):

server:
  name: production-web-01
  os: Ubuntu 22.04 LTS
  ip: 192.168.1.100
services:
  - name: nginx
    port: 80
    status: running
  - name: postgresql
    port: 5432
    status: running

Output Textile file (server.textile):

h1. Server Configuration

*Name:* production-web-01
*OS:* Ubuntu 22.04 LTS
*IP:* 192.168.1.100

h2. Services

|_. Service |_. Port |_. Status |
| nginx | 80 | running |
| postgresql | 5432 | running |

Frequently Asked Questions (FAQ)

Q: What is YAML format?

A: YAML (YAML Ain't Markup Language) is a human-readable data serialization standard created in 2001 by Clark Evans, Oren Ben-Kiki, and Ingy dot Net. It is widely used for configuration files in tools like Docker, Kubernetes, Ansible, and GitHub Actions. YAML uses indentation to represent hierarchy and supports strings, numbers, booleans, lists, mappings, and null values. The current standard is YAML 1.2 (2009).

Q: What is Textile format?

A: Textile is a lightweight markup language created by Dean Allen in 2002, originally for the Textpattern CMS. It uses intuitive syntax like *bold* for strong text, _italic_ for emphasis, h1. for headings, and * for bullet lists. Textile is the native markup language for Redmine project management software and is also used in Textpattern and some Ruby-based tools.

Q: How does the converter handle YAML lists?

A: YAML sequences (lists) are converted to Textile bullet lists using the * prefix for unordered lists or # for numbered lists. Nested lists are represented with multiple markers (e.g., ** for a second-level bullet). If list items are objects with multiple fields, the converter may generate a Textile table instead for better readability.

Q: Can I paste the Textile output directly into Redmine?

A: Yes. The generated Textile markup is fully compatible with Redmine's wiki and issue description fields. You can copy the output and paste it directly into Redmine, and it will render with proper headings, lists, tables, and text formatting without any modifications.

Q: How are YAML key-value pairs formatted in Textile?

A: Simple key-value pairs are rendered as bold label paragraphs (e.g., *key:* value). When multiple key-value pairs form a structured record, the converter may use Textile table syntax with header rows for cleaner presentation. Nested objects create subsection headings.

Q: What is the difference between Textile and Markdown?

A: Both are lightweight markup languages, but they use different syntax. Textile uses *bold*, _italic_, and h1. for headings, while Markdown uses **bold**, *italic*, and # for headings. Textile has more powerful table syntax and supports inline CSS attributes. Markdown has broader adoption across platforms like GitHub, GitLab, and Stack Overflow, while Textile dominates in Redmine and Textpattern.

Q: Is there a file size limit for conversion?

A: Our converter handles YAML files of any reasonable size. Complex nested structures with many levels of depth are fully supported, and the resulting Textile output will accurately represent all the data from your YAML source file with proper formatting.