Individual skill
liteparse
Local document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents. Distinguishing capabilities are per-token bounding boxes, page raster output, and fully local processing with no cloud API.
plugins/KalarisLabs/research-agent-skills/skills/liteparse/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,532
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-coding Repository topic
- awesome Repository topic
- awesome-list Repository topic
- codex Repository topic
- codex-plugins Repository topic
- openai Repository topic
- codex-skill Repository topic
- codex-skills Repository topic
- marketplace Repository topic
- codex-marketplace Repository topic
- pdf-parsing,-ocr,-document-extraction,-rag,-papers Declared skill tag
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesSKILL.mdcore · 11,555 bytesreferences/api_reference.mddoc · 4,372 bytesreferences/choosing_a_parser.mddoc · 3,362 bytesreferences/cli_reference.mddoc · 3,290 bytesreferences/ocr_and_formats.mddoc · 3,223 bytesreferences/output_formats.mddoc · 3,842 bytesscripts/batch_parse_dir.pyruns · 4,578 bytes
Read excerpt
# 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:
