Revolutionizing Document Parsing: Vision Language Models & Pydantic Data Extraction

Deep Dive into Document Data Extraction with Vision Language Models and Pydantic 1. Technical Principles Explained 1.1 Evolution of Vision Language Models (vLLMs) Modern vLLMs achieve multimodal understanding through joint image-text pretraining. Representative architectures like Pixtral-12B utilize dual-stream Transformer mechanisms: Visual Encoder (ViT-H/14): Processes 224×224 resolution images Text Decoder (32-layer Transformer): Generates structured outputs Compared with traditional OCR (Optical Character Recognition), vLLMs demonstrate significant advantages in unstructured document processing: Metric Tesseract OCR Pixtral-12B Layout Adaptability Template-dependent Dynamic parsing Semantic Understanding Character-level Contextual awareness Accuracy 68.2% 91.7% Data Source: CVPR 2023 Document Understanding Benchmark 1.2 Structured Output Validation with Pydantic Pydantic …