Quickly parse your documents with Rust
Liteparse (run-llama); is an open source document parser written in Rust to parse documents quickly and efficiently. It facilitates AI and RAG processes by making complex document structures processable.
Updates
- November 4, 2026: Stars 12,904 → 12,981, latest release node-v2.18.0 (November 4, 2026).
- October 23, 2026: Stars 12,844 → 12,904, latest release node-v2.17.0 (October 22, 2026).
- October 13, 2026: Stars 12,836 → 12,844, latest release docker-v2.16.0 (October 12, 2026).
- October 12, 2026: Stars 12,762 → 12,836, latest release crates-v2.16.0 (October 12, 2026).
What you get
- Provides fast and efficient document parsing.
- It makes complex structures machinable.
- Fully compatible with AI and RAG pipelines.
Installation
pip install liteparseHow to install, how to use?
Install the LiteParse PDF parsing tool with 'pip install liteparse', then extract the text of a PDF with the command 'lit parse document.pdf' or save as structured JSON with bounding boxes with 'lit parse document.pdf --format json -o output.json'.
Repository: https://github.com/run-llama/liteparse. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-05-30: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.