Vision OCR LLM

This 30B parameter vision-language model delivers production-grade optical character recognition with enterprise-level accuracy across diverse document types. Powered by a Mixture-of-Experts architecture that activates only 3B parameters per token, the model It achieves exceptional OCR performance while maintaining computational efficiency. The model excels at extracting text from forms, invoices, receipts, medical records, legal documents, and complex structured layouts, achieving 88% accuracy on industry-standard OCR benchmarks. With specialized training in form understanding, it demonstrates a 14.7 Character Error Rate on FUNSD benchmark, making it highly effective for automated document processing pipelines. The 32K context window enables processing of multi-page documents and batch operations in a single inference pass. Optimized for high-throughput production environments, it processes thousands of documents efficiently while maintaining consistent accuracy across diverse document formats including tables, multi-column layouts, and mixed-content documents. OCR Performance Achieves 88% accuracy on OCRBench evaluations Demonstrates 14.7 Character Error Rate on FUNSD form understanding Handles 20+ languages with consistent accuracy Robust text extraction from receipts, invoices, forms, and business documents Excellent performance on complex layouts and structured documents Technical Specifications 30B total parameters with 3B active per inference (MoE architecture) Maximum context length: 32K tokens Image resolution: Up to 8MP/4K (3840 X 2160) Fast inference through efficient architecture design Supports batch processing for high-volume workflows Document Understanding Strong performance on charts and data visualizations Excellent table extraction and structure preservation Reliable text extraction from complex multi-column layouts Handles documents with varying quality and orientations Effective processing of mixed-content documents Production Advantages: Real-time inference suitable for automated workflows Consistent performance across diverse document types Optimized for integration with document management systems Balances accuracy and speed for enterprise-scale deployments Ideal for high-volume document processing pipeline