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pdf-asset-extractor

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Turn PDFs into searchable assets.

Data & Analytics#pdf#markdown#knowledge-graph#base64#asset-extraction#section-navigation
Authoru9401066
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Decomposing PDFs into queryable assets (images, tables, and text) and constructing a cross-document knowledge graph to enable AI agents to access precise information across documents.

Core Features & Use Cases

  • Ingest PDFs with dual-engine extraction (PyMuPDF for speed and Marker for high-precision structure) to output figures, tables, and sections.
  • Build a knowledge graph and Mermaid diagrams for cross-document reasoning and visualization.
  • Retrieve assets on demand (images as base64, tables as Markdown, sections and full text) to support RAG-enabled workflows.
  • Use Case: Automate extraction from a batch of research papers to populate a searchable knowledge base and enable cross-document queries.

Quick Start

Ingest a PDF to extract figures, tables, and text and build a knowledge graph for cross-document reasoning.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: pdf-asset-extractor
Download link: https://github.com/u9401066/asset-aware-mcp/archive/main.zip#pdf-asset-extractor

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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