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liteparse

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About liteparse

L

liteparse

Local document and PDF parsing that returns spatial text with bounding boxes

liteparse is an agent skill for local document and PDF parsing that returns layout-aware text with bounding boxes. It is for extracting text from PDFs, DOCX and other Office files, and images, and for running OCR on scanned pages. LiteParse is an open-source parser with a Rust core and Python and Node bindings. It can produce layout text, structured JSON, or heuristic Markdown. Its spatial text items may span several words, and the Python option emit_word_boxes adds word boxes when you need them. The verified release is the Python liteparse 2.15.0 from 29 September 2026, with the command-line tool and synthetic PDF and image test files checked on Python 3.13. The Node and Rust examples were checked against source but not run. Images are converted with bundled Rust libraries, not ImageMagick. The skill says no cloud account is needed for parsing. It also notes two data flows to be aware of. Missing Tesseract language data can be downloaded from GitHub, and an HTTP OCR service receives document images only if you explicitly configure one. The skill includes a reference file for choosing between this parser and other options such as MarkItDown and LlamaParse.

View liteparseAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/liteparse