regex-vs-llm-structured-text

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 Show more Installs 1.5K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass