liteparse

Extract layout-aware text and bounding boxes from PDFs and converted files.

Updated Jul 1, 2026
One-click install
npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill liteparse-jasrajtulsi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: liteparse
Source: https://github.com/jasrajtulsi/GRAD-SCOPE/tree/main/.claude/skills/liteparse
Command: npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill liteparse-jasrajtulsi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires liteparse, and includes scripts (resource) and references (resource) components.

What problem does it solve?

LiteParse removes the manual burden of converting PDFs, scans, Office files, and images into usable text while preserving page structure and spatial grounding.

Core Features & Use Cases

  • Local parsing with layout-preserved text and JSON output for retrieval, citation, and multimodal workflows.
  • OCR, screenshots, and phrase search for scanned documents, figures, tables, and page-level analysis.
  • Batch directory ingestion and support for encrypted or page-limited documents, making it practical for research folders and large corpora.

Quick Start

Ask the skill to parse the attached document into layout-preserved text or bounding-box JSON and use OCR or screenshots when the file is scanned or visually complex.

Frequently Asked Questions about liteparse

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract layout-aware text and bounding boxes from PDFs and images locally?

To extract layout-aware text and bounding boxes locally, you can parse PDFs, converted Office files, or images into structured JSON output. This preserves page structure and spatial grounding for retrieval and multimodal workflows.

Can I run OCR on scanned documents and screenshots without sending data to the cloud?

Yes, you can perform local OCR on scanned documents and screenshots using bundled Tesseract or an HTTP OCR server. This allows phrase search and page-level analysis for visually complex files without external cloud dependencies.

Do I need LibreOffice and ImageMagick to parse Office files and screenshots?

You need optional LibreOffice and ImageMagick dependencies to process non-PDF inputs like converted Office files and image screenshots. LiteParse 2.0.0 handles standard PDFs natively without these additional environment tools.

What is the best way to batch parse a large directory of research papers and encrypted PDFs?

The best way to batch parse large research corpora is using directory ingestion, which supports encrypted or page-limited documents. This allows practical bulk extraction of layout-preserved text across large folders of papers and reports.

Does local document parsing support spreadsheets and image-heavy reports?

Yes, local document parsing supports spreadsheets, slides, and image-heavy reports by using OCR and screenshot capabilities. It extracts text and bounding boxes while maintaining the structural layout of the original page elements.