MarkItDown Document Converter for Openclaw

A versatile document conversion engine for transforming various file formats into clean, structured Markdown.

karmanverma
v1.0.1
Feb 11, 2026
0
3.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install markitdown-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install markitdown-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is MarkItDown Document Converter?

The MarkItDown skill is a powerful integration designed for Openclaw Skills that leverages Microsoft's MarkItDown library. It enables AI agents and developers to programmatically convert a wide array of file types—including PDFs, Word documents, Excel sheets, and even YouTube videos—into high-quality, structured Markdown.

By utilizing this skill within the Openclaw Skills ecosystem, users can easily ingest unstructured data into their RAG (Retrieval-Augmented Generation) pipelines, documentation workflows, or AI coding environments. This ensures that information from traditionally difficult formats is accessible and searchable for any AI agent.

MarkItDown Document Converter Use Cases

  • Fetching and formatting README or API documentation directly from remote URLs.
  • Converting complex PDF, Word, and PowerPoint files into readable Markdown for AI context and analysis.
  • Performing OCR on images to extract text and transcribing audio files or YouTube videos for content processing.
  • Extracting structured data from Excel spreadsheets while preserving table formats.
  • Preserving semantic structure when converting legacy HTML web pages into modern Markdown documents.

How MarkItDown Document Converter Works

  1. The user provides a local file path or a remote URL to the MarkItDown utility within Openclaw Skills.
  2. The underlying library automatically identifies the file type (such as PDF, docx, or xlsx) and applies specific conversion logic.
  3. For media-rich files, the skill triggers OCR or speech-to-text engines to extract embedded textual content.
  4. The extracted content is transformed into structured Markdown text, ensuring headings, lists, and tables remain intact.
  5. The resulting Markdown output is either saved to a specified file or returned as a string for the AI agent to process further.

MarkItDown Document Converter Setup

To integrate this capability into your library of Openclaw Skills, you must first install the core MarkItDown package:

pip install 'markitdown[all]'

For enhanced features like OCR on macOS, you may need to install Tesseract:

brew install tesseract

For Linux users (Ubuntu/Debian):

sudo apt-get install tesseract-ocr

MarkItDown Document Converter Data Schema & Taxonomy

Component Description
Supported Input PDF, Word (docx), PowerPoint (pptx), Excel (xlsx), Images, Audio, HTML, YouTube
Primary Output Structured Markdown (.md)
CLI Interface Accessible via the markitdown command-line tool
Scripting Includes a batch_convert.py script for directory-wide processing
Metadata Extracts EXIF data from images and structural metadata from Office documents

MarkItDown Document Converter Advanced Features

  • Comprehensive OCR capabilities for extracting text from scanned documents and images within Openclaw Skills.
  • Built-in speech-to-text transcription for processing audio files and YouTube video URLs directly into text.
  • Batch processing support via a dedicated Python script to handle massive document migrations.
  • Flexible Python API that allows developers to integrate conversion logic directly into custom Openclaw Skills or automation scripts.
  • Support for preserving complex elements like Excel tables and PowerPoint slide structures in the final Markdown output.

SKILL.md


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