Technical Analysis: Computational Complexity and Accuracy Tradeoffs in Schema-Guided Document Extraction

Summary

The article analyzes the computational complexity and accuracy tradeoffs in schema-guided document extraction using large language models. While major API providers and open-source tools have made structured output generation accessible, the author's research team discovered significant challenges when scaling to complex real-world documents. Through evaluations on bank statements, invoices, and other documents, they found that schema-guided extraction faces computational bottlenecks, accuracy issues with complex layouts, and tradeoffs between precision and processing time. The article provides a technical analysis of these limitations and suggests that while schema-based approaches work for simple cases, they struggle with the complexity of real-world document extraction tasks.