Visual OCR Structured LLM

Vision OCR Structured LLM is an enterprise-grade vision-language model designed to convert complex documents into structured, application-ready data. Unlike traditional OCR solutions that stop at text extraction, JSL Vision OCR Structured LLM understands document structure and produces schema-compliant JSON outputs that can be consumed directly by business applications, analytics platforms, RAG systems, and automation workflows. Organizations can eliminate manual document processing, reduce custom parsing logic, and accelerate document-driven workflows by extracting structured information directly from PDFs, forms, reports, tables, and scanned documents. The model is optimized for production environments where reliability matters. Through schema-aware decoding, it generates guaranteed-valid JSON outputs, eliminating malformed responses, post-processing pipelines, and costly validation workflows. Key business benefits include: - Reduce manual document review and data entry - Automate extraction from forms, reports, invoices, and business documents - Convert unstructured content into structured JSON for downstream systems - Accelerate document ingestion, analytics, and workflow automation - Improve consistency and reliability of extracted data - Deploy securely within your AWS environment while maintaining full control of sensitive information - Support compliance and governance requirements through self-hosted deployment The model is particularly well suited for Intelligent Document Processing (IDP), document automation, financial workflows, healthcare documentation, regulatory reporting, claims processing, enterprise search, and AI-ready data preparation. Designed for organizations that require both performance and operational control, the model delivers industry-leading structured document extraction while running efficiently on a single GPU, making advanced document intelligence accessible without complex infrastructure requirements. Performance - 0.714 JSON-Diff accuracy on OmniOCR - #1 OS, #5 overall in the JSL Vision Benchmark Series - Superior performance on Schema constrained OCR: Claude Sonnet 4.5 (0.709), Holo2-30B-A3B (0.684), Qwen3-VL-8B (0.676), Pixtral-Large (0.670) - 0.268 CER on FUNSD flat-text OCR (100 pages)