NVIDIA-Nemotron-Parse-NIM-microservice

NVIDIA-Nemotron-Parse-NIM-microservice is a general purpose text-extraction model, specifically designed to handle documents. Given an image, nemotron-parse is able to extract formatted-text, with bounding-boxes and the corresponding semantic class. This has downstream benefits for several tasks such as increasing the availability of training-data for Large Language Models (LLMs), improving the accuracy of retriever systems, and enhancing document understanding pipelines. This model is ready for commercial use.

Input

Input Types:

• Image: RGB (Red, Green, Blue)
• Text: Prompt (String)

Input Parameters:

• Image Dimensions
  • Maximum Resolution: 1648 x 2048 (Width x Height)
  • Minimum Resolution: 1024 x 1280 (Width x Height)
• Channel Count: 3

Output

Output Types:

• Text: The output is provided as a string.

Output Format:

• String (1D)

Output Details:

• The output string encodes the extracted text content (formatted or unformatted), along with bounding box coordinates and associated class attributes (e.g., title, section, caption, etc.).

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

NVIDIA AI Enterprise
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade co-pilots and other generative AI applications. Easy-to-use microservices provide optimized model performance with enterprise-grade security, support, and stability to ensure a smooth transition from prototype to production for enterprises that run their businesses on AI.