monoco-atom-doc-extract

name: monoco_atom_doc_extract description: Extract documents to WebP pages for VLM analysis - Convert PDF, Office, Images to standardized WebP format type: atom

Document Extraction

Extract documents to WebP pages suitable for Vision Language Model (VLM) analysis.

When to Use

Use this skill when you need to:

• Analyze PDF documents with visual capabilities
• Process Office documents (DOCX, PPTX, XLSX) for content extraction
• Convert images or scanned documents to page sequences
• Handle documents from ZIP archives

Commands

Extract a document:

monoco doc-extractor extract <file_path> [--dpi 150] [--quality 85] [--pages "1-5,10"]

List extracted documents:

monoco doc-extractor list [--category pdf] [--limit 20]

Search documents:

monoco doc-extractor search <query>

Show document details:

monoco doc-extractor show <hash_prefix>
monoco doc-extractor cat <hash_prefix>  # Show metadata JSON

Parameters

Output

Documents are stored in ~/.monoco/blobs/{sha256_hash}/:

• source.{ext} - Original file
• source.pdf - Normalized PDF
• pages/*.webp - Rendered page images
• meta.json - Document metadata

Example

# Extract a PDF with high quality
monoco doc-extractor extract ./report.pdf --dpi 200 --quality 90

# Extract specific pages from a document
monoco doc-extractor extract ./presentation.pptx --pages "1-10"

# List all PDF documents
monoco doc-extractor list --category pdf

# Show details of extracted document
monoco doc-extractor show a1b2c3d4

Best Practices

• Use --dpi 200 or higher for documents with small text
• Use --quality 90 for better image quality (larger files)
• Extracted documents are cached by content hash - re-extraction is instant
• Archives (ZIP) are automatically extracted and processed