LiteParse, a fast open-source document parser for AI agents
LiteParse is an open-source (Apache 2.0) document parser that provides high-quality spatial text parsing with bounding boxes. It does not depend on local or frontier VLMs. Because it does not require GPUs, liteparse can be run on any machine, and process a few hundred pages of documents in seconds. It offers higher accuracy than similar tools like PyPDF, PyMuPDF, MarkItDown. It supports a variety of file formats - PDFs, Office documents, images. It can be one-line installed as a skill for 40+ different AI agents, including Claude Code, Cursor, OpenClaw, Windsurf, and more.
In plain words
LiteParse is an open-source document parser that extracts text with spatial positioning and bounding boxes from PDFs, Office documents, and images. Designed for AI agents, it requires no GPUs or vision models, runs on any machine, and processes hundreds of pages in seconds with higher accuracy than comparable tools. It integrates with over 40 AI agents including Claude Code and Cursor through one-line installation.
written from the facts on this page · September 2026
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