Working with Markdown is great—it is the universal lingua franca for READMEs, technical documentation, static site generators, and now LLM prompt context (RAG pipelines).
However, getting data into Markdown from real-world documents is often a pain.
We've all been there:
- Installing heavy CLI tools like Pandoc and dealing with missing LaTeX or OS dependencies.
- Uploading confidential work PDFs or financial spreadsheets to sketchy online converters that process files on unknown servers.
- Manually cleaning up messy tables copied from Excel or HTML markup.
To solve this friction, I built MD-Convert — a free, lightweight, privacy-first web utility designed to convert almost any document into clean Markdown directly inside your browser.
The Core Philosophy: 100% Client-Side Privacy
The biggest drawback of modern cloud file converters is data privacy. When you upload a company document, an .ipynb notebook containing proprietary code, or an internal spreadsheet to a typical web converter, your data leaves your machine.
With MD-Convert (md-convert.org), all parsing algorithms and conversions run 100% locally in your browser.
- 🔒 Zero Server Uploads: Your files are parsed in-memory on the client machine.
- ⚡ Zero Installation: No
pip install, nobrew install pandoc, and no Node.js scripts needed. - 🚀 Instant Processing: Conversions happen in milliseconds without waiting in server processing queues.
What Can You Convert? (16+ Supported Formats)
Here is a breakdown of the conversion workflows supported out of the box:
1. Documents & Notebooks to Markdown
- PDF to Markdown: Extracts structured headers, paragraphs, and text without manual formatting (PDF to Markdown).
- DOCX to Markdown: Converts Microsoft Word files, retaining headings, bold/italic typography, and lists.
- Jupyter Notebooks (.ipynb): Renders code blocks and markdown cells cleanly into a unified documentation file.
2. Spreadsheets & Datasets to Markdown Tables
Converting spreadsheets to Markdown tables usually results in broken syntax. MD-Convert properly parses and formats:
- Excel (.xlsx) & ODS
- CSV & TSV
- Structured Data: JSON, YAML, and XML files into formatted Markdown code blocks or structured tables.
3. Web & Migration
- Live URLs & HTML: Strips boilerplate, CSS, and navigation to extract clean article Markdown.
- Evernote (.enex): Seamlessly migrate old notes into personal Markdown vaults like Obsidian or Logseq.
Example: Quick Document Conversion Workflow
Instead of writing a custom Python parsing script:
bash
# Old workflow: Dependencies + CLI flags
pip install pdfminer.six
pandoc document.docx -f docx -t markdown -o output.md
