---
id: llama-parse
version: "0.6.94"
license: MIT
license_treatment: permissive
maintenance: aging
---

# llama-parse — Parse files into RAG-Optimized formats.

License: permissive · Maintenance: aging · Popularity: top 1,000 on PyPI

## Install

pip install llama-parse
uv add llama-parse
poetry add llama-parse

## Description

# LlamaParse

> **⚠️ DEPRECATION NOTICE**
>
> This repository and its packages are deprecated and will be maintained until **May 1, 2026**.
>
> **Please migrate to the new packages:**
> - **Python**: `pip install llama-cloud>=1.0` ([GitHub](https://github.com/run-llama/llama-cloud-py))
> - **TypeScript**: `npm install @llamaindex/llama-cloud` ([GitHub](https://github.com/run-llama/llama-cloud-ts))
>
> The new packages provide the same functionality with improved performance, better support, and active development.

[![PyPI - Downloads](https://img.shields.io/pypi/dm/llama-parse)](https://pypi.org/project/llama-parse/)
[![GitHub contributors](https://img.shields.io/github/contributors/run-llama/llama_parse)](https://github.com/run-llama/llama_parse/graphs/contributors)
[![Discord](https://img.shields.io/discord/1059199217496772688)](https://discord.gg/dGcwcsnxhU)

LlamaParse is a **GenAI-native document parser** that can parse complex document data for any downstream LLM use case (RAG, agents).

It is really good at the following:

- ✅ **Broad file type support**: Parsing a variety of unstructured file types (.pdf, .pptx, .docx, .xlsx, .html) with text, tables, visual elements,...

## AI interpretation — verify before relying

LlamaParse is a GenAI-native document parser that converts complex unstructured files (PDF, PPTX, DOCX, XLSX, HTML) into structured, LLM-ready formats with support for tables, visual elements, and custom parsing instructions.

Verdict: LlamaParse offers document parsing for RAG pipelines with low install friction and permissive MIT licensing, but its deprecation status with maintenance ending May 1, 2026 makes it a transitional choice. New projects should migrate to the recommended successor package for active development.

[View on SkillFed](https://skillfed.io/packages/llama-parse) · [View on PyPI](https://pypi.org/project/llama-parse/)