Liteparse

---
name: liteparse
description: Local document and PDF parsing with spatial text and bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; OCR on scans; layout-preserved JSON for RAG; batch-ingesting paper folders; or page screenshots for multimodal agents — even when the user does not name liteparse. Prefer over MarkItDown when you need bboxes, fast local parsing, or PNG page renders; prefer over the pdf skill for merge/split/forms.
license: Apache-2.0
allowed-tools: Read Write Edit Bash
compatibility: Python 3.10+. Optional LibreOffice (Office formats) and ImageMagick (images). Bundled Tesseract for OCR. All processing is local — no cloud API required.
metadata: {"version": "1.0", "skill-author": "K-Dense Inc."}
---

# LiteParse — Local Document Parsing

## Overview

LiteParse is a fast, open-source document parser (Rust core, Python/Node bindings) focused on **local, layout-aware text extraction** with bounding boxes. It does not produce Markdown and does not call cloud LLMs. Outputs are **plain text** (layout-preserved) or **structured JSON** with per-page `text_items` (position, font metadata, optional confidence).

**Version note:** Examples target **liteparse 2.0.0** (PyPI, May 2026). The upstream V1 branch is legacy; this skill documents **V2 / main** only.

For parser selection vs MarkItDown, the `pdf` skill, or LlamaParse, see `references/choosing_a_parser.md`.

## When to Use This Skill

Use LiteParse when you need:

- **Fast local parsing** of PDFs or converted Office/image files without cloud dependencies
- **Spatial text** with bounding boxes for layout-aware RAG, citation grounding, or figure/table region logic… load the full skill through Skill Me