CONVERT MD → RST (MD to RST)
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Ghostscript + QPDFHOW TO CONVERT MD → RST
Upload your MD
Drop the document onto the uploader. We transfer over HTTPS and keep the file in an isolated processing container.
Render with LibreOffice
LibreOffice opens the MD headlessly and writes it as RST with styles, tables and images mapped across.
Download the RST
The RST is ready to download; typography, pagination and embedded assets match what you saw in the source.
Why this pair exists — MD is Markdown, a plain-text format with minimal syntax that renders to formatted HTML. Ergo, the RST route. Converting MD to RST keeps the document's content but changes how it is distributed. Markdown may be the right editing format; reStructuredText may be the right delivery format (or vice-versa). KaijuConverter renders the document through a LibreOffice + pandoc pipeline so headings, paragraphs, lists, tables, images and hyperlinks survive the round-trip intact. Context: MD is Markdown, a plain-text format with minimal syntax that renders to formatted HTML. RST is a document format oriented around a particular office suite or publishing pipeline.
Why convert MD to RST
MD and RST both describe paginated text, but they target different parts of the document life cycle. MD is usually editable; RST is usually final. Converting is about moving from editing to distribution (or the other way round) without losing headings, styles, tables or embedded images along the way.
MD vs RST — Technical specifications
Side-by-side comparison of the technical details.
MD
- MIME type
- text/markdown
- Extensions
- .md, .markdown, .mdown, .mkd
- Standard
- CommonMark, GitHub Flavored Markdown (GFM)
- Encoding
- UTF-8 (conventional)
- Companion spec
- RFC 7763 (2016)
- MIME Type
- text/markdown
- Extension
- .md
- Category
- Documents & Text
- Full Name
- Markdown
- Conversion Engine
- PANDOC
RST
- MIME type
- text/x-rst
- Encoding
- UTF-8
- MIME Type
- text/x-rst
- Extension
- .rst
- Category
- Documents & Text
- Full Name
- reStructuredText
- Conversion Engine
- PANDOC
- Toolchain
- Docutils, Sphinx, Read the Docs
- Related formats
- MyST (Markdown + RST directives)
| Specification | MD | RST |
|---|---|---|
| MIME type | text/markdown | text/x-rst |
| Extensions | .md, .markdown, .mdown, .mkd | — |
| Standard | CommonMark, GitHub Flavored Markdown (GFM) | — |
| Encoding | UTF-8 (conventional) | UTF-8 |
| Companion spec | RFC 7763 (2016) | — |
| MIME Type | text/markdown | text/x-rst |
| Extension | .md | .rst |
| Category | Documents & Text | Documents & Text |
| Full Name | Markdown | reStructuredText |
| Conversion Engine | PANDOC | PANDOC |
| Toolchain | — | Docutils, Sphinx, Read the Docs |
| Related formats | — | MyST (Markdown + RST directives) |
MD vs RST — Strengths and limitations
What each format does best, and where it falls short.
MD Strengths
- Readable as plain text even before rendering — fits in version control beautifully.
- Dead-simple: 90% of needs covered in 10 minutes of learning.
- Converts trivially to HTML, PDF, EPUB, and DOCX via Pandoc.
- Every modern IDE, note-taking app, and developer tool renders it natively.
- Lightweight — a typical Markdown file is kilobytes, not megabytes.
Limitations
- No formal authoritative spec — CommonMark, GFM, and MultiMarkdown differ on edge cases.
- Tables and complex layouts are clunky; footnotes and math require extensions.
- Links to images stay external — no embedded media unless you base64-inline.
RST Strengths
- Rich directives for admonitions, code, math, and custom elements.
- Cross-references work within and across documents.
- Sphinx ecosystem offers best-in-class Python docs output.
- Standardized as part of Python PEP infrastructure.
- Plain text, version-controllable.
Limitations
- Syntax denser than Markdown — higher learning curve.
- Less widely adopted than Markdown outside Python world.
- Multiple directive dialects (Sphinx, Docutils, custom) create fragmentation.
Quality & Compatibility
LibreOffice handles the heavy lifting and maps the overwhelming majority of MD features to their RST equivalents. Standard system fonts (Arial, Calibri, Times, Helvetica) transfer exactly; corporate or custom fonts are substituted with the closest available match, which can shift line breaks by a character or two. Inline images embed at original resolution.
Tips for Best Results
- Embed fonts in the MD before uploading if you use non-system fonts — it guarantees the RST renders identically on any viewer.
- Check tables, figure captions and page headers after conversion; complex layouts occasionally need a minor nudge in the target application.
- For documents with a table of contents, refresh the TOC field after opening the RST so page numbers reflect the new pagination.
Frequently Asked Questions
Yes, as long as the fonts are standard (system fonts or common office fonts like Arial, Calibri, Times, Helvetica). Custom corporate fonts survive if they are embedded in the source document; otherwise the conversion substitutes the closest available match, which can shift line breaks by a character or two.
Yes. Inline images are embedded into the RST at full resolution, editable tables become native RST tables, and hyperlinks keep their URLs. Complex features unique to MD — macros, form fields, track-changes — are mapped where an equivalent exists in RST and flattened into static content otherwise.
All uploads go over TLS, files are processed in isolated containers and both the source and the output are deleted within two hours. No account is required, file contents are never indexed or used for training, and the paid plan adds a signable data-processing agreement for regulated workflows.
Markdown
Source formatMarkdown is a lightweight markup language that uses plain text formatting syntax. It is widely used in software development, technical documentation, and content management systems.
reStructuredText
Target formatRST (reStructuredText) is a lightweight markup language used in Python documentation.
Going the other way? Convert RST back to MD with the same engine.
Common Use Cases
Share across platforms
Send RST files to anyone without worrying about whether they have the right software for MD.
Embed in documents
Drop RST output into Word, Google Docs, PowerPoint, Notion or a website without conversion warnings.
Optimize size
RST often produces smaller files than MD for web, email and storage.
Archive & future-proof
Store in a widely-supported format that will still open on future operating systems without legacy plugins.
MD vs RST — Typical file sizes
Approximate file sizes for common scenarios.
- README 1-15 KB
- Blog post 2-30 KB
- Full technical manual 50 KB - 2 MB
- API reference page 5-50 KB
- Sphinx project chapter 20-100 KB
- Full library documentation 500 KB - 10 MB
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Related comparisons
See these formats side by side to understand which fits your use case best.
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