MEDIAWIKI vs TEXTILE
A detailed comparison of MediaWiki Markup and Textile Markup — file size, quality, compatibility, and which format to choose for your workflow.
Technical Specifications
| Specification | .MEDIAWIKI | .TEXTILE |
|---|---|---|
| MIME type | text/x-wiki | text/x-textile |
| Extensions | .mediawiki, .wiki | .textile |
| Parser | MediaWiki core + Parsoid (HTML) | — |
| Encoding | UTF-8 | UTF-8 |
| Canonical user | Wikipedia + Wikimedia sister projects | — |
| Implementations | — | RedCloth (Ruby), php-textile, js-textile |
| Primary users | — | Redmine, Textpattern, early Rails |
Strengths Comparison
.MEDIAWIKI Strengths
- Powers Wikipedia — battle-tested at planet scale.
- Templates enable reusable content blocks.
- Internal links, categories, and interwiki references work out of the box.
- Huge existing tooling and translation ecosystem.
.TEXTILE Strengths
- More expressive than Markdown in classical usage (tables, footnotes, classes).
- Mature implementation in RedCloth (Ruby), php-textile, js-textile.
- Core format of Redmine — millions of daily users.
- Clean human-readable syntax.
Limitations
.MEDIAWIKI — Limitations
- Parsing is notoriously hard — context-sensitive by design.
- Authoring requires learning the unique syntax.
- Lacks standardization — no formal spec, just the MediaWiki implementation.
- Markdown has eroded wiki use cases for smaller projects.
.TEXTILE — Limitations
- Market share decimated by Markdown since the mid-2000s.
- Not as widely supported outside the Ruby/Rails ecosystem.
- No CommonMark-style spec — implementations differ on edge cases.
- Rarely added to new projects in 2026.
Frequently Asked Questions
MEDIAWIKI (MediaWiki Markup) is a document format used to store paginated text, with optional formatting, tables, images, hyperlinks, headers and footers. It sits in the documents & text family and is typically associated with a specific office suite or publishing pipeline that defined the format and ships the canonical reader.
TEXTILE (Textile Markup) is a document format used to store paginated text, with optional formatting, tables, images, hyperlinks, headers and footers. It sits in the documents & text family and is typically associated with a specific office suite or publishing pipeline that defined the format and ships the canonical reader.
Modern office suites — Microsoft Word, Google Docs, LibreOffice Writer, Apple Pages — open most MEDIAWIKI files with reasonable fidelity. If your installed software does not support MEDIAWIKI, convert to DOCX or PDF first using KaijuConverter; both open in virtually every reader, including free online viewers.
Modern office suites — Microsoft Word, Google Docs, LibreOffice Writer, Apple Pages — open most TEXTILE files with reasonable fidelity. If your installed software does not support TEXTILE, convert to DOCX or PDF first using KaijuConverter; both open in virtually every reader, including free online viewers.
Upload the MEDIAWIKI to KaijuConverter and pick DOCX, PDF, ODT, RTF, HTML, Markdown, or plain text. Our pipeline runs LibreOffice headlessly plus pandoc for text formats — the same engines behind professional document pipelines. Styles, tables, images, and hyperlinks survive the conversion intact.
Yes, to a high degree. Standard fonts, headings, lists, tables, images, hyperlinks and page structure transfer cleanly. Custom fonts substitute to the closest match if not embedded; obscure layout features unique to MEDIAWIKI (frames, legacy macros) may flatten to static content in the target format.
Need to Convert Gigabyte Archives or Mass Folders?
KaijuConverter delivers ultra-fast in-memory conversions for everyday tasks. For multi-gigabyte production workloads without browser bandwidth bottlenecks, explore high-throughput desktop suites.
One-time payment with zero recurring commitment: convert files up to 1 GB and 50-file batches for 24 hours.
Convert large videos, PDFs, and lossless audio directly in your browser—100% ad-free with priority queue.
High-throughput cloud pipeline for files up to 1,024 MB, 24-hour encrypted storage, and priority processing.
Convert thousands of camera RAW files (CR3, NEF, ARW) to WebP, AVIF, or TIFF in one pass.
GPU-accelerated RAW development with end-to-end 16-bit ICC color profile management.