How does this skill help with Vision Language Models (VLM)?

It converts complex documents into high-quality WebP images that VLMs can easily analyze to interpret layout, charts, and visual content.

What is the recommended DPI for small text?

For documents containing small or dense text, it is recommended to use --dpi 200 or higher to ensure the VLM can clearly read the content.

Can I extract specific pages instead of the whole document?

Yes, you can use the --pages flag to specify exact pages or ranges, such as '1-5,10' to limit the extraction.

What file formats does the Monoco Document Extractor support?

The skill supports PDF, Microsoft Office documents (DOCX, PPTX, XLSX), various image formats, and ZIP archives.

Where are the extracted documents stored?

Documents are stored locally in the ~/.monoco/blobs/ directory, organized by SHA256 content hashes for instant re-extraction and caching.

Monoco Document Extractor

Name: Monoco Document Extractor
Author: IndenScale

byIndenScale

•

数据科学与机器学习

Converts PDFs, Office documents, and images into high-quality WebP pages optimized for Vision Language Model analysis.

The Monoco Document Extractor skill bridges the gap between static documents and AI vision capabilities by transforming complex file formats like PDFs and PowerPoint presentations into a standardized sequence of WebP images. It supports granular control over rendering quality and DPI, allowing users to extract specific page ranges and manage a local searchable cache of processed documents. This tool is essential for workflows where Claude needs to analyze visual layouts, charts, or scanned content that traditional text-based extraction might overlook.

主要功能

01Granular controls for DPI, image quality, and specific page ranges

028 GitHub stars

03Automatic extraction and processing of documents from ZIP archives

04Standardized WebP output optimized for Vision Language Models (VLM)

05Local document caching with searchable metadata and content hashing

06Multi-format support for PDF, DOCX, PPTX, XLSX, and images

使用场景

01Preparing complex visual reports for analysis by Claude's vision capabilities

02Converting scanned documents into a structured, AI-readable page sequence

03Managing a local library of processed document blobs for rapid AI retrieval

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add indenscale/typedown monoco_atom_doc_extract

For use in Claude.ai and ChatGPT

Download Skill