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data/engineering/liteparse

Official

Parse unstructured documents locally into clean text or structured JSON.

Data & Analytics#OCR#document parsing#local-first#structured JSON#PDF parsing#RAG ingestion
Author2nth-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the process of parsing unstructured documents such as PDFs, Word, PowerPoint, Excel, and images, converting them into structured data for use in RAG pipelines, data analytics, or AI training without reliance on cloud-based solutions.

Core Features & Use Cases

  • Local Document Parsing: Parses a wide variety of document formats locally on the user's system, supporting both plain text extraction and JSON formatting with bounding boxes.
  • No Cloud Dependencies: Eliminates the need for cloud-based services, making it ideal for environments where cloud services are not allowed or when handling sensitive data.
  • Document Processing Options: Offers multiple modes of document processing, including text extraction, OCR (Optical Character Recognition), and screenshot generation for multimodal content.

Quick Start

Run the command 'lit parse input.pdf --format json -o output.json' to parse 'input.pdf' into structured JSON.

Dependency Matrix

Required Modules

@llamaindex/liteparse

Components

scriptsassets

💻 Claude Code Installation

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Please help me install this Skill:
Name: data/engineering/liteparse
Download link: https://github.com/2nth-ai/skills/archive/main.zip#data-engineering-liteparse

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