Liteparse
Description
A fast, helpful, and open-source document parser
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
LiteParse
[](https://github.com/run-llama/liteparse/actions/workflows/ci.yml) | [](https://crates.io/crates/liteparse) | [](https://www.npmjs.com/package/@llamaindex/liteparse) | [](https://www.npmjs.com/package/@llamaindex/liteparse-wasm) | [](https://pypi.org/project/liteparse/) | [](https://opensource.org/licenses/Apache-2.0) | [Docs](https://developers.llamaindex.ai/liteparse/)
English | [简体中文](README.zh-CN.md)
Looking for LiteParse V1? Follow this link to [the old code](https://github.com/run-llama/liteparse/tree/logan/liteparse-v1)
LiteParse is a standalone OSS PDF parsing tool focused exclusively on **fast and light** parsing. It provides high-quality spatial text parsing with bounding boxes, without proprietary LLM features or cloud dependencies. Everything runs locally on your machine.
**Hitting the limits of local parsing?** For complex documents (dense tables, multi-column layouts, charts, handwritten text, or scanned PDFs), you'll get significantly better results with [LlamaParse](https://developers.llamaindex.ai/python/cloud/llamaparse/?utm_source=github&utm_medium=liteparse), our cloud-based document parser built for production document pipelines. LlamaParse handles the hard stuff so your models see clean, structured data and markdown.
[Sign up for LlamaParse free](https://cloud.llamaindex.ai?utm_source=github&utm_medium=liteparse)
Overview
- Fast Text Parsing: Spatial text parsing using PDFium
- **Flex
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