// Convert Office documents (Word, Excel, PowerPoint, PDF) to Markdown format. ONLY use this skill when the user explicitly requests to CONVERT, TRANSFORM or PARSE a specific office file into Markdown. Do NOT trigger for general questions, documentation reading, or discussions about files.
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| name | office-to-md |
| description | Convert Office documents (Word, Excel, PowerPoint, PDF) to Markdown format. ONLY use this skill when the user explicitly requests to CONVERT, TRANSFORM or PARSE a specific office file into Markdown. Do NOT trigger for general questions, documentation reading, or discussions about files. |
Convert various Office document formats to structured Markdown with text, table, and image extraction.
enhanced_parser.py - Core document parserdoc_converter.py - DOC to DOCX converter (requires LibreOffice)requirements.txt - Python dependenciespip install -r requirements.txt
.doc format requires LibreOffice:
# Windows: Install LibreOffice from official website
# https://www.libreoffice.org/download/
# Linux
sudo apt install libreoffice
# Mac
brew install --cask libreoffice
from enhanced_parser import EnhancedDocumentParser
# Initialize parser
parser = EnhancedDocumentParser(
image_base_url="http://localhost:5000",
image_save_dir="./static/images",
filter_headers_footers=True # Filter headers and footers
)
# Parse document
result = parser.parse_document("document.docx")
if result["success"]:
print(result["markdown"])
print(f"Extracted {result['images_count']} images")
# Start service using app.py from project root
python app.py
# Visit http://localhost:5000/analyzer to upload files
| Format | Extensions | Notes |
|---|---|---|
| Word | .docx, .doc | .doc requires LibreOffice |
| Excel | .xlsx, .xls | Supports multiple worksheets and date formats |
| PowerPoint | .pptx | Extracts slide text and images |
| Auto-detects tables and images |
# Test LibreOffice configuration
python doc_converter.py
parser = EnhancedDocumentParser(
pdf_table_strategy="lines_strict" # Default: strict line detection, fastest
# "lines": Normal line detection
# "text": Based on text position, more accurate but slower
)
parser = EnhancedDocumentParser(
image_base_url="https://your-domain.com", # Image access URL
image_save_dir="./static/images" # Image save directory
)
{
"success": true,
"markdown": "# Document Title\n\nContent...",
"images_count": 2,
"images": [
{
"filename": "uuid.png",
"url": "http://localhost:5000/static/images/uuid.png",
"size": 12345
}
],
"file_type": "docx",
"file_info": {
"name": "document.docx",
"size": 45678,
"paragraphs": 50,
"tables": 3
}
}
python doc_converter.py to test configuration