Achieving 99% Accuracy in PDF Data Extraction

Introduction

At Langtrace Hub, we have successfully implemented a process that provides close to 99% accuracy for extracting data from PDFs. Here's how I approach single-page and multi-page data extraction:

Single-page Extraction:

1. Convert the PDF to an image.

2. Use DSPy for structured output extraction from the image, leveraging Claude 3.5 Sonnet as the language model.

Multi-page Extraction:

1. Convert the PDF to markdown using Docling.

2. Use DSPy for structured output extraction from the markdown, with Gemini employed for handling larger context windows.

This method ensures high accuracy and efficiency in extracting data from PDFs, even across multiple pages.

Reach out to me if you are looking to improve your team's efficiency by building AI agents.

Useful Resources

• Book a free consultation with Karthik

• Langtrace Website

• Langtrace Discord

• Langtrace Github

• Langtrace Twitter(X)

• Langtrace Linkedin