The release of Segment Anything Models (SAM1 and SAM2) by Meta has significantly influenced various domains, including medical imaging. However, existing implementations of SAM primarily focus on standalone tools that require local installation and configuration, limiting accessibility and ease of use. In this work, we present the web-based extension of SAM2 integrated into the Open Health Imaging Foundation (OHIF) viewer. Our solution supports all SAM2 prompt types, including points and bounding boxes, and enables multi-label predictions. This web-based integration eliminates installation requirements, offering a more user-friendly interface. The implementation is open-source and available at https://github.com/CCI-Bonn/OHIF-SAM2.