Convert JIRA to Textile
Max file size 100mb.
JIRA vs Textile Format Comparison
| Aspect | JIRA (Source Format) | Textile (Target Format) |
|---|---|---|
| Format Overview |
JIRA
Jira Markup Language
JIRA markup is Atlassian's text formatting language used across Jira, Confluence, and Bitbucket. It provides a lightweight syntax for bold, italic, headings, tables, code blocks, lists, and links without requiring HTML knowledge. The format is designed for quick issue descriptions and project documentation. Markup Language Atlassian |
Textile
Textile Markup Language
Textile is a lightweight markup language that produces well-formed HTML. Originally created by Dean Allen, it is used by content management systems like Redmine, Trac, and Textpattern. Textile syntax is designed to be easy to read and write while generating clean, semantic HTML output. Markup Language Web Publishing |
| Technical Specifications |
Structure: Plain text with Jira markup syntax
Encoding: UTF-8 Format: Atlassian markup language Platforms: Jira, Confluence, Bitbucket Extensions: .jira, .txt |
Structure: Plain text with Textile markup syntax
Encoding: UTF-8 Standard: Textile markup specification MIME Type: text/x-textile Extension: .textile |
| Syntax Examples |
JIRA uses Atlassian wiki markup: h1. Main Heading
*bold text* and _italic text_
||Header 1||Header 2||
|Cell A1|Cell A2|
|Cell B1|Cell B2|
{code:java}
System.out.println("Hello");
{code}
|
Textile uses a similar lightweight markup: h1. Main Heading
*bold text* and _italic text_
|_. Header 1 |_. Header 2 |
| Cell A1 | Cell A2 |
| Cell B1 | Cell B2 |
bc. System.out.println("Hello");
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| Version History |
Introduced: 2002 (Atlassian)
Current Version: Jira Cloud markup Status: Active, widely used in enterprise Evolution: Wiki markup to rich text editor (markup still supported) |
Introduced: 2002 (Dean Allen)
Current Version: Textile 2 Status: Stable, maintained but declining adoption Evolution: Textile 1 (2002) to Textile 2, largely superseded by Markdown |
| Software Support |
Primary: Jira, Confluence, Bitbucket
Editors: Any text editor Converters: Pandoc (jira format), j2m Platforms: Atlassian Cloud, Data Center, Server |
Platforms: Redmine, Textpattern, Trac
Libraries: RedCloth (Ruby), Textile.js, php-textile Editors: Any text editor Converters: Pandoc, online Textile editors |
Why Convert JIRA to Textile?
Converting JIRA markup to Textile is a natural transformation because both formats share remarkably similar syntax. Both use h1. through h6. for headings, * for bold text, and _ for italics. This makes the conversion highly accurate with minimal content loss, ensuring your Jira documentation translates cleanly into Textile-based platforms.
This conversion is particularly valuable for teams migrating from Atlassian tools to Redmine or other Textile-based project management systems. Issue descriptions, comments, and wiki pages written in Jira markup can be converted to Textile format and imported directly into Redmine without manual reformatting.
Organizations using Textpattern CMS for their websites can also benefit from converting Confluence content to Textile. The converted markup can be pasted directly into Textpattern articles, preserving formatting, links, and document structure.
Key Benefits of Converting JIRA to Textile:
- Similar Syntax: Heading syntax is nearly identical between JIRA and Textile
- Redmine Compatible: Migrate Jira content directly into Redmine wiki pages
- Format Preservation: Bold, italic, lists, and tables map closely between formats
- Clean HTML Output: Textile generates semantic, well-formed HTML
- Platform Migration: Smooth transition from Atlassian to Textile-based tools
- CMS Integration: Use converted content in Textpattern and other CMSs
- Lightweight Format: Textile files are small and easy to version control
Practical Examples
Example 1: Issue Description to Textile
Input JIRA file (issue.jira):
h2. Performance Optimization *Problem:* The dashboard page loads _slowly_ under high traffic. h3. Root Cause Analysis * Database queries are not indexed * Frontend assets are not cached * API calls are sequential instead of parallel ||Metric||Before||After|| |Page Load|4.2s|1.1s| |API Response|800ms|200ms|
Output Textile file (issue.textile):
h2. Performance Optimization *Problem:* The dashboard page loads _slowly_ under high traffic. h3. Root Cause Analysis * Database queries are not indexed * Frontend assets are not cached * API calls are sequential instead of parallel |_. Metric |_. Before |_. After | | Page Load | 4.2s | 1.1s | | API Response | 800ms | 200ms |
Example 2: Documentation to Textile
Input JIRA file (docs.jira):
h1. Getting Started Guide
h2. Installation
# Download the latest release from [Downloads|https://example.com/downloads]
# Extract the archive
# Run the installer
{code:bash}
./install.sh --prefix=/opt/myapp
export PATH=$PATH:/opt/myapp/bin
{code}
h2. Configuration
Edit the config file at _/etc/myapp/config.yml_ and set the *database* connection string.
Output Textile file (docs.textile):
h1. Getting Started Guide h2. Installation # Download the latest release from "Downloads":https://example.com/downloads # Extract the archive # Run the installer bc. ./install.sh --prefix=/opt/myapp export PATH=$PATH:/opt/myapp/bin h2. Configuration Edit the config file at _/etc/myapp/config.yml_ and set the *database* connection string.
Example 3: Sprint Report to Textile
Input JIRA file (sprint.jira):
h2. Sprint 20 Review
{quote}
This sprint focused on *infrastructure improvements* and _security hardening_.
{quote}
h3. Completed Items
* PROJ-101: Upgrade Node.js to v20
* PROJ-102: Implement rate limiting
* PROJ-103: Add health check endpoints
h3. Carried Over
# PROJ-104: OAuth2 integration
# PROJ-105: Monitoring dashboard
Output Textile file (sprint.textile):
h2. Sprint 20 Review bq. This sprint focused on *infrastructure improvements* and _security hardening_. h3. Completed Items * PROJ-101: Upgrade Node.js to v20 * PROJ-102: Implement rate limiting * PROJ-103: Add health check endpoints h3. Carried Over # PROJ-104: OAuth2 integration # PROJ-105: Monitoring dashboard
Frequently Asked Questions (FAQ)
Q: How similar are JIRA and Textile syntax?
A: Very similar. Both use h1.-h6. for headings, * for bold, _ for italic, and * for bullet lists. The main differences are in link syntax (Jira uses [text|url] while Textile uses "text":url) and code blocks (Jira uses {code} while Textile uses bc. or pre.).
Q: Can I use the output directly in Redmine?
A: Yes, the converted Textile markup is fully compatible with Redmine's wiki and issue tracker. You can paste the output directly into Redmine wiki pages, issue descriptions, and comments.
Q: How are Jira code blocks converted?
A: Jira {code}...{code} blocks are converted to Textile bc. (block code) or pre. (preformatted) blocks. Multi-line code sections use the appropriate Textile block-level markup to preserve formatting.
Q: Are Jira tables converted properly?
A: Yes, Jira tables with ||header|| and |cell| are converted to Textile table syntax with |_. for header cells and | for data cells. Column alignment and structure are preserved.
Q: How are Jira links mapped to Textile?
A: Jira [display text|url] links are converted to Textile "display text":url format. Both formats support linking to external URLs and the text labels are preserved in the conversion.
Q: Does the conversion preserve Jira quotes?
A: Yes, Jira {quote}...{quote} blocks are converted to Textile bq. (block quote) notation. The quoted text content is preserved with proper Textile block formatting.
Q: Can I convert Confluence pages to Textile?
A: Yes, Confluence uses the same Jira markup syntax. Export the page source from Confluence and convert it to Textile for use in Redmine, Textpattern, or other Textile-based platforms.
Q: What happens to Jira macros like {panel}?
A: Jira panel macros are converted to standard Textile block elements. The panel title becomes a heading and the content is formatted as regular Textile paragraphs. Textile does not have a direct panel equivalent.