The Unstract Blog

What is the best Python library to parse tables from PDFs? In this comparison article we evaluate 4 Python libraries and compare them based on ease of use, accuracy and output structure.

This article serves as a guide on how to extract raw text and structured data from PDF forms containing checkboxes and radio buttons. We’ll focus on converting unstructured PDF text into structured data using LLMWhisperer.

A modern guide to extracting data from complex tables in a PDF. We’ll leverage Python text extraction libraries and OpenAI to achieve the extraction.

Extracting structured JSON from credit card statements using Langchain and Pydantic, and comparing this approach with a purpose-built environment like Unstruct’s Prompt Studio. The blog post delves into the advantages and disadvantages of each method.

Chunking involves splitting a large document into smaller parts. This process is crucial in the Retrieval-Augmented Generation (RAG) due to the context window size limitations of Large Language Models (LLMs).