
Markit Markdown Converter
You know how you end up copy-pasting text from PDFs and it comes out mangled, or you need to extract content from a dozen different file types for RAG pipelines? This converts basically everything to markdown: documents, spreadsheets, presentations, images with OCR, audio transcriptions, URLs, even Jupyter notebooks and RSS feeds. Works as both a CLI and TypeScript library. The interesting part is it's pluggable, so you can write custom converters for weird formats, and it hooks into OpenAI, Anthropic, or any OpenAI-compatible API for the vision and transcription bits. Built by ara.so, who clearly got tired of dealing with this problem themselves.
- skills.sh installs
- 811
- GitHub stars
- 61
- last updated
- Jul 14, 2026
Install
$ npx -y skills add aradotso/trending-skills --skill markit-markdown-converter --agent claude-codeInstalls into .claude/skills of the current project.
Files
markit-markdown-converter
Skill by ara.so — Daily 2026 Skills collection.
markit converts almost anything to markdown: PDFs, Word docs, PowerPoint, Excel, HTML, EPUB, Jupyter notebooks, RSS feeds, CSV, JSON, YAML, images (with EXIF + AI description), audio (with metadata + AI transcription), ZIP archives, URLs, Wikipedia pages, and source code files. It works as a CLI tool and as a TypeScript/Node.js library, supports pluggable converters, and integrates with OpenAI, Anthropic, and any OpenAI-compatible LLM API.
Installation
# Global CLI
npm install -g markit-ai
# Or as a project dependency
npm install markit-ai
# bun add markit-ai
# pnpm add markit-ai
CLI Quick Reference
# Convert a file
markit report.pdf
markit document.docx
markit slides.pptx
markit data.xlsx
markit notebook.ipynb
# Convert a URL
markit https://example.com/article
markit https://en.wikipedia.org/wiki/Markdown
# Convert media (requires LLM API key for AI features)
markit photo.jpg
markit recording.mp3
markit diagram.png -p "Describe the architecture and data flow"
markit receipt.jpg -p "List all line items with prices as a table"
Sponsors
Details
- Repository
- github.com/aradotso/trending-skills
- First seen
- May 16, 2026
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