Office to Markdown Converter
Convert Office documents to Markdown for version control and AI processing using Microsoft's markitdown.
You can't put a Word doc in Git, search inside a PowerPoint, or feed a PDF to your AI workflow. Your team's knowledge lives in Office formats that are opaque to every modern tool. Converting to Markdown unlocks version control, search, and AI processing.
Who it's for: teams migrating documentation from Word to Markdown-based systems, developers who need to process Office docs programmatically, organizations moving from SharePoint to Git-based documentation, technical writers converting legacy docs for static site generators, anyone feeding Office documents into AI pipelines
Example
"Convert our 50 Word SOPs to Markdown for our docs site" → Clean Markdown files preserving headings, tables, lists, and images, with frontmatter metadata, ready for Jekyll/Hugo/Docusaurus, and a conversion report noting any formatting that needed manual review
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
npx ccplaybooks add office-to-md# Office to Markdown
## Overview
This workflow enables conversion from various Office formats to Markdown using **markitdown** - Microsoft's open-source tool for converting documents to Markdown. Perfect for making Office content searchable, version-controllable, and AI-friendly.
## How to Use
1. Provide the Office file (Word, Excel, PowerPoint, PDF, etc.)
2. Optionally specify conversion options
3. I'll convert it to clean Markdown
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What This Does
This workflow enables conversion from various Office formats to Markdown using markitdown - Microsoft's open-source tool for converting documents to Markdown. Perfect for making Office content searchable, version-controllable, and AI-friendly.
Quick Start
Step 1: Create a Project Folder
mkdir -p ~/Documents/OfficeToMd
Step 2: Download the Template
Click Download above, then:
mv ~/Downloads/CLAUDE.md ~/Documents/OfficeToMd/
Step 3: Start Working
cd ~/Documents/OfficeToMd
claude
How to Use
- Provide the Office file (Word, Excel, PowerPoint, PDF, etc.)
- Optionally specify conversion options
- I'll convert it to clean Markdown
Example prompts:
- "Convert this Word document to Markdown"
- "Turn this PowerPoint into Markdown notes"
- "Extract content from this PDF as Markdown"
- "Convert this Excel file to Markdown tables"
Best Practices
- Check Output Quality: Review converted Markdown for accuracy
- Handle Tables: Complex tables may need manual adjustment
- Preserve Structure: Use consistent heading levels in source docs
- Image Handling: Consider using vision models for important images
- Version Control: Store converted Markdown in Git for tracking
Examples
Example 1: Convert Documentation Suite
from markitdown import MarkItDown
from pathlib import Path
def convert_docs_to_wiki(docs_folder, wiki_folder):
"""Convert all Office docs to markdown wiki structure."""
md = MarkItDown()
docs_path = Path(docs_folder)
wiki_path = Path(wiki_folder)
# Create wiki structure
wiki_path.mkdir(exist_ok=True)
# Create index
index_content = "# Documentation Index\n\n"
for doc in sorted(docs_path.glob('**/*.docx')):
try:
result = md.convert(str(doc))
# Create relative path in wiki
rel_path = doc.relative_to(docs_path)
output_file = wiki_path / rel_path.with_suffix('.md')
output_file.parent.mkdir(parents=True, exist_ok=True)
# Write markdown
with open(output_file, 'w') as f:
f.write(result.text_content)
# Add to index
link = str(rel_path.with_suffix('.md')).replace('\\', '/')
index_content += f"- [{doc.stem}]({link})\n"
print(f"Converted: {doc.name}")
except Exception as e:
print(f"Error: {doc.name} - {e}")
# Write index
with open(wiki_path / 'index.md', 'w') as f:
f.write(index_content)
convert_docs_to_wiki('./company_docs', './wiki')
Example 2: Meeting Notes Processor
from markitdown import MarkItDown
import re
from datetime import datetime
def process_meeting_notes(pptx_path):
"""Extract and structure meeting notes from PowerPoint."""
md = MarkItDown()
result = md.convert(pptx_path)
# Parse the markdown
content = result.text_content
# Extract sections
sections = {
'attendees': [],
'agenda': [],
'decisions': [],
'action_items': []
}
current_section = None
for line in content.split('\n'):
line_lower = line.lower()
if 'attendee' in line_lower or 'participant' in line_lower:
current_section = 'attendees'
elif 'agenda' in line_lower:
current_section = 'agenda'
elif 'decision' in line_lower:
current_section = 'decisions'
elif 'action' in line_lower:
current_section = 'action_items'
elif line.strip().startswith(('-', '*', '•')) and current_section:
sections[current_section].append(line.strip()[1:].strip())
# Generate structured output
output = f"""# Meeting Notes
**Date:** {datetime.now().strftime('%Y-%m-%d')}
**Source:** {pptx_path}
Limitations
- Complex formatting may be simplified
- Images are not embedded (use vision model for descriptions)
- Some table structures may not convert perfectly
- Track changes in Word are not preserved
- Comments may not be extracted
Installation
pip install markitdown
# For image/audio processing
pip install markitdown[all]
# For specific features
pip install markitdown[images] # Image OCR
pip install markitdown[audio] # Audio transcription