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Structured Data Extraction with Vision LLMs and Pydantic

learnwithparam.com

Extract structured invoice data from images and PDFs using Gemini and GPT-4o vision. Enforce type-safe outputs with Pydantic validation, zero-shot document classification, and automatic intent detection.

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What You'll Learn

  • Use vision-enabled LLMs to extract structured data from images and PDFs
  • Enforce type-safe structured outputs with Pydantic validation
  • Classify documents without training data using zero-shot learning
  • Automatically detect document types and intents

Tech Stack

  • Gemini / GPT-4o - Vision-enabled large language models
  • Pydantic - Type-safe structured data extraction
  • FastAPI - High-performance async Python web framework
  • Docker - Containerized development

Getting Started

make dev    # One command to set up and run

Open http://localhost:8000/docs for the interactive API docs.

Challenges

  1. Multi-Currency Support - Dynamic currency detection and conversion
  2. Confidence Scores - Extraction confidence validation
  3. Line Item Categorization - Automatic categorization pipeline

Learn more

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Structured Data Extraction with Vision LLMs and Pydantic - Workshop by learnwithparam.com

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