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Visual OCR Structured LLM
by John Snow Labs Inc
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Document processing,, structured extraction from forms, financial documents, medical records, legal contracts, and technical diagrams.
This 30B parameter vision-language model represents the optimal balance of accuracy, cost, and performance for production OCR and structured extraction pipelines.
The model achieves 90% accuracy on OCRBench evaluations - the highest in its class - delivering enterprise-grade reliability for mission-critical document processing.
Excelling at complex structured extraction from forms, financial documents, medical records, legal contracts, and technical diagrams, it demonstrates a 20.3 Character Error Rate on FUNSD benchmark, translating to 79.7% field-level accuracy.
The Mixture-of-Experts architecture activates only 3B parameters per inference, delivering exceptional accuracy with superior computational efficiency.
The 32K context window processes lengthy documents and multi-page batches seamlessly.
Enhanced with advanced training techniques, it demonstrates superior reasoning for ambiguous layouts, degraded document quality, and complex multi-table structures. This model delivers production-ready accuracy for high-volume workflows requiring highest reliability at scale.
Industry-Leading Performance:
Achieves 90% accuracy on OCRBench
Demonstrates 20.3 Character Error Rate on FUNSD (79.7% field-level accuracy)
Processes 25+ languages with consistent accuracy
Superior performance on charts, diagrams, tables, and complex layouts
Exceptional reliability for production-grade document processing
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)
Advanced training for enhanced reasoning and accuracy
4 X inference speedup through optimized deployment architecture
Structured Extraction Excellence:
Superior JSON generation from complex document layouts
Excellent chart and data visualization comprehension (91-93%)
Advanced table extraction with structure preservation
Robust handling of nested tables and hierarchical data
Reliable key-value extraction from challenging layouts
Production Excellence
Most cost-efficient option for enterprise OCR at scale
Optimal for high-volume automated document processing
Superior structured extraction for financial, medical, and legal documents
Ideal for production pipelines processing 10K+ documents daily
Handles degraded scans and varying document quality
Seamless integration with enterprise document management systems
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