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 spatial text boxes, Markdown, page raster output, and local parsing with optional custom HTTP OCR.
skills/liteparse/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 2, 2026
- License
- MIT
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# LiteParse — Local Document Parsing
## Overview
LiteParse is an open-source document parser (Rust core, Python/Node bindings) for **local, layout-aware text extraction**. It produces layout text, structured JSON, or heuristic Markdown. Spatial text items may span several words; Python `emit_word_boxes=True` adds word boxes when needed.
**Verified release:** Python **liteparse 2.15.0** (September 29, 2026); CLI and synthetic local PDF/image fixtures tested on Python 3.13. Node/Rust examples below are source-checked and illustrative. Images convert through bundled Rust libraries, not ImageMagick. No cloud account is needed, but missing Tesseract language data can download from GitHub and an explicitly configured HTTP OCR service receives document images.
For parser selection vs MarkItDown, PDF manipulation libraries, or LlamaParse, see `references/choosing_a_parser.md`.
## When to Use This Skill
Use LiteParse when you need:
