A powerful Microsoft utility for converting complex document formats into clean Markdown for AI consumption.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install markitdown
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install markitdown 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 Skill?
MarkItDown is a versatile Openclaw Skills utility developed by Microsoft that bridges the gap between unstructured document formats and LLM-ready text. By converting everything from PowerPoint presentations and Excel spreadsheets to PDF documents and audio transcriptions into Markdown, it ensures that your AI agents can process structured data accurately. This skill operates locally, leveraging a Python virtual environment to maintain privacy and performance while handling complex OCR and transcription tasks.
This utility is specifically designed to support the development of context-aware agents that need to ingest high-fidelity data from various professional sources. Whether you are dealing with nested tables in Excel or text trapped within images, this tool provides a consistent and readable format for downstream analysis.
MarkItDown Skill Use Cases
- Extracting data from complex Excel tables for financial analysis and reporting.
- Converting multi-page PDF manuals into searchable Markdown text for RAG workflows.
- Transcribing audio or video content, including YouTube URLs, into text for summarization.
- Parsing legacy Word documents and PowerPoint slides to extract key technical talking points.
- Analyzing image metadata and performing OCR on scanned documents.
How MarkItDown Skill Works
- The skill initializes a local Python virtual environment to ensure all dependencies are isolated from the host system.
- The user identifies a target file or URL to be processed by the utility.
- The MarkItDown engine parses the specific file format and extracts structured text, tables, and metadata.
- The output is generated either as a console stream for immediate viewing or saved to a specified .md file.
- AI agents then read the resulting Markdown content to perform advanced analysis or provide context-aware responses within the Openclaw Skills ecosystem.
MarkItDown Skill Setup
To get started with this skill, ensure you have python3 installed. Run the following commands within the skill directory to prepare the environment:
python3 -m venv .venv
.venv/bin/pip install 'markitdown[all]'
For processing audio and video formats, ensure that system-level libraries such as ffmpeg are installed on your host machine.
MarkItDown Skill Data Schema & Taxonomy
The skill processes a wide variety of inputs and generates Markdown files with a focus on preserving structural integrity. The following table highlights how data is organized:
| Feature | Supported Formats | Transformation Result |
|---|---|---|
| Office Docs | .pptx, .docx, .xlsx | Markdown headers, lists, and tables |
| PDF Documents | Text extraction with layout preservation | |
| Visual Media | .jpg, .png | OCR text extraction and EXIF metadata |
| Audio/Video | .wav, .mp3, YouTube | Full speech-to-text transcriptions |
| Web/Archives | .html, .epub, .zip | Extraction of internal text content |
MarkItDown Skill Advanced Features
- Local OCR support for extracting text from images and scanned PDF documents without cloud dependencies.
- Automated YouTube URL processing for fetching and transcribing video content directly into Openclaw Skills.
- Support for multi-format archives, allowing for the batch extraction of content from ZIP files.
- High-fidelity table preservation from Excel and Word to ensure data relationships remain intact for LLM processing.
SKILL.md
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