---
title: Getting Started | Developer Documentation
description: Introduction to LlamaExtract, a tool for extracting structured data from unstructured documents, available as a web UI, Python SDK, and REST API.
---

Using a coding agent?

Give your AI agent access to these docs: `claude mcp add llama-index-docs --transport http https://developers.llamaindex.ai/mcp` — [More options](/python/shared/mcp/index.md)

## Overview

LlamaExtract provides a simple API for extracting structured data from unstructured documents like PDFs, text files, and images.

LlamaExtract is available as a web UI, Python SDK and REST API.

### Is LlamaExtract right for me?

LlamaExtract is a great fit for when you need:

- **Well-typed data for downstream tasks**: You want to extract data from documents and use it for downstream tasks like training a model, building a dashboard, entering into a database, etc. LlamaExtract guarantees that your data complies with the provided schema or provides helpful error messages when it doesn’t.
- **Accurate data extraction**: We use the best in class LLM models to extract data from your documents.
- **Iterative schema development**: You want to quickly iterate on your schema and get feedback on how well it works on your sample documents. Do you need to provide more examples to extract a certain field? Do you need to make a certain field optional?
- **Support for multiple file types**: LlamaExtract supports a wide range of file types, including PDFs, text files, and images. Let us know if you need support for another file type!

## Quick Start

### Using the web UI

The simplest way to try out LlamaExtract is to [use the web UI](./web_ui).

Just define your Extraction Agent (schema and settings), drag and drop any supported document into LlamaCloud and extract data from your documents.

![Extraction Results](/_astro/results.GCdJaOZl_Z1AkygC.png)

### Get an API key

Once you’re ready to start coding, [get an API key](../../../general/api_key) to use LlamaExtract with the Python SDK.

### Use our libraries

We have a library available for Python and Typescript. This is the recommended way to use LlamaExtract for running extraction jobs at scale. Check out the [SDK quick start](./sdk) to get started.

### REST API

If you are using a language other than Python, you can use the [REST API](./api).