World-class OCR NIM for multimodal retrieval and text extraction from images.
Image OCR NIM Overview
Description
NVIDIA NeMo™ Retriever NIM for Image OCR is an optical character recognition (OCR) microservice that extracts text from images.
The container components are ready for commercial/non-commercial use.
License/Terms of Use
The NIM container is governed by the NVIDIA Software License Agreement (found at https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and the Product-Specific Terms for NVIDIA AI Products (found at https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/);
Use of this model is governed by the NVIDIA Open Model License Agreement.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography
Global
Release Date
Build.Nvidia.com on 10/24/2025 via URL
NGC on 12/01/2025 via URL
Program Classes
The Image OCR NIM Container includes the following models:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| nemoretriever-ocr-v1 | Model extracts text from images | Automatic |
Deployment Details
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.
Reference(s):
N/A
Container Version(s):
Please see the "Tags" tab for supported versions.
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure.
Please report model quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
Get Help
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more.
Enterprise Support
Get access to knowledge base articles and support cases or submit a ticket.