Document Parser

概要

Document Parser is a powerful utility designed to process massive text files, such as research papers and technical manuals, that exceed standard LLM context limits. By employing layout-aware hierarchical chunking, it breaks down documents into semantically coherent sections while preserving parent-child relationships and crucial structural context. Users can automatically generate section maps, extract structured data from tables and code blocks, and identify domain-specific benchmarks or terms, making it an essential tool for building RAG systems or performing deep-dive analyses on complex, long-form content.

主な機能

• Layout-aware hierarchical chunking to preserve semantic structure
• 0 GitHub stars
• Abstract generation for progressive reading workflows
• Automated token counting and section mapping for easy navigation
• Dual-format output including machine-readable JSON and human-readable Markdown
• Extraction of tables, code blocks, and domain-specific benchmarks

ユースケース

• Analyzing research papers or technical manuals exceeding 25k tokens
• Preparing semantically structured content chunks for RAG systems
• Comparing hierarchical structures and key metrics across multiple large documents