LlamaExtract Tutorial: Convert PDF & Images into JSON

Video Description

How to Extract Structured Data from Unstructured Files Using Lama Extract (LlamaIndex) This video is a comprehensive tutorial on using LlamaExtract, a tool by LamaIndex, to automatically extract structured information from unstructured documents like PDFs and images. You'll learn how to define extraction schemas, use the graphical user interface and the Python SDK, manage extraction agents, process documents in batches, handle advanced configurations, and optimize extraction for real-world scenarios (like resumes or invoices). The video also covers details on pricing, privacy, and deploying in the EU for compliance. ## Links - Code from the video: https://colab.research.google.com/gist/alejandro-ao/7ef2a8546a9a2ecdae547d918753b5b7/llamaextract.ipynb - 🚀 Complete AI Engineer Bootcamp: https://aibootcamp.dev - ❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq - 💬 Join the Discord Help Server: https://link.alejandro-ao.com/HrFKZn - ✉️ Get the news from the channel and AI Engineering: https://link.alejandro-ao.com/AIIguB ## Topics - Introduction to LLama Extract from LlamaIndex - Overview of extracting structured data from unstructured files - Setting up a LamaIndex account and understanding the free tier - Extracting data from PDFs and images to JSON - Uploading and extracting data from multiple files and in batches - Extract data from multiple-page PDFs per-page vs. per-document, system prompts, extraction targets, reasoning mode, source citation This in-depth walkthrough is ideal for developers, data engineers, and anyone who needs to automate data extraction from unstructured documents into structured formats for databases or data workflows. ## Timestamps 0:00:00 - Intro 0:01:32 - Graphical User Interface 0:03:41 - Notebook - Create Agent 0:08:02 - Manage Agents 0:09:41 - Batch Processing 0:11:35 - Update Agent Schemas 0:12:42 - Custom Config 0:18:05 - Pricing 0:19:06 - Privacy 0:19:52 - Conclusion