Regex vs LLM for Structured Text Parsing A practical decision framework for parsing structured text (quizzes, forms, invoices, documents). The key insight: regex handles 95-98% of cases cheaply and deterministically. Reserve expensive LLM calls for the remaining edge cases. When to Activate - Parsing structured text with repeating patterns (questions, forms, tables) - Deciding between regex and LLM for text extraction - Building hybrid pipelines that combine both approaches - Optimizing cost/accuracy tradeoffs in text processing Decision Framework Architecture Pattern Implementation 1. Regex…