Peter Steinberger

Markdown Converter

Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis.

v1.0.0 Recently Updated Updated Today

Installation

clawhub install markdown-converter

Requires npm i -g clawhub

View on ClawHub Download .zip

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Markdown Converter

Convert files to Markdown using uvx markitdown — no installation required.

Basic Usage

              # Convert to stdout
uvx markitdown input.pdf

# Save to file
uvx markitdown input.pdf -o output.md
uvx markitdown input.docx > output.md

# From stdin
cat input.pdf | uvx markitdown
            

Supported Formats

Documents: PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls)
Web/Data: HTML, CSV, JSON, XML
Media: Images (EXIF + OCR), Audio (EXIF + transcription)
Other: ZIP (iterates contents), YouTube URLs, EPub

Options

              -o OUTPUT      # Output file
-x EXTENSION   # Hint file extension (for stdin)
-m MIME_TYPE   # Hint MIME type
-c CHARSET     # Hint charset (e.g., UTF-8)
-d             # Use Azure Document Intelligence
-e ENDPOINT    # Document Intelligence endpoint
--use-plugins  # Enable 3rd-party plugins
--list-plugins # Show installed plugins
            

Examples

              # Convert Word document
uvx markitdown report.docx -o report.md

# Convert Excel spreadsheet
uvx markitdown data.xlsx > data.md

# Convert PowerPoint presentation
uvx markitdown slides.pptx -o slides.md

# Convert with file type hint (for stdin)
cat document | uvx markitdown -x .pdf > output.md

# Use Azure Document Intelligence for better PDF extraction
uvx markitdown scan.pdf -d -e "https://your-resource.cognitiveservices.azure.com/"
            

Notes

Output preserves document structure: headings, tables, lists, links
First run caches dependencies; subsequent runs are faster
For complex PDFs with poor extraction, use -d with Azure Document Intelligence