Nemotron OCR v2 Model Overview Description Nemotron OCR v2 is a state of the art multilingual text recognition model designed for robust end to end optical character recognition (OCR) on complex real world images. It integrates three core neural network modules: a detector for text region localization, a recognizer for transcription of detected regions, and a relational model for layout and structure analysis. This model is optimized for a wide variety of OCR tasks, including multi line, multi block, and natural scene text, and it supports advanced reading order analysis via its relational model component. Nemotron OCR v2 supports multiple languages and has been developed to be production ready and commercially usable, with a focus on speed and accuracy on both document and natural scene images. Nemotron OCR v2 is part of the NVIDIA NeMo Retriever collection, which provides state of the art, commercially ready models and microservices optimized for the lowest latency and highest throughput. It features a production ready information retrieval pipeline with enterprise support. The models that form the core of this solution have been trained using responsibly selected, auditable data…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy