List of the Top 16 DICOM Viewers for Mac in 2025

OsiriX is a widely recognized medical imaging application tailored for the visualization of DICOM (Digital Imaging and Communications in Medicine) files, specifically serving healthcare professionals who need effective management and analysis of medical visuals. This adaptable platform features capabilities for 2D, 3D, and 4D visualization, along with advanced post-processing tools that boost diagnostic accuracy. Its sophisticated functionalities, such as volume rendering and intricate image manipulation, make it a favored option among radiologists, clinicians, and researchers globally. OsiriX is offered in two variants: a free (Lite) version and a paid (MD) version that comes with additional features and necessary certifications for clinical use, including FDA and CE approvals. The software also prides itself on a user-friendly interface, which, combined with its strong performance, plays a significant role in its popularity within the medical field. Furthermore, the software is continuously updated to ensure it meets the evolving needs of its users and adheres to the latest industry standards.

TrialKit is a versatile cloud-based solution accessible through a web interface and a dedicated mobile application, designed to facilitate comprehensive clinical trial management for organizations involved in medical devices, diagnostics, digital therapeutics, and biopharmaceuticals, regardless of their scale. With our user-friendly study builder, you can create and launch validated studies in just days instead of weeks, eliminating the need for any programming knowledge. To date, numerous users worldwide have utilized the adaptability of TrialKit to successfully launch more than 8,000 studies spanning all stages of development. This platform empowers researchers to streamline their processes and enhance the efficiency of clinical research endeavors.

3D Slicer is a freely available open-source software designed for the visualization, processing, segmentation, registration, and analysis of various medical and 3D images as well as meshes. It facilitates the planning and navigation of image-guided procedures. As a desktop application, 3D Slicer addresses intricate challenges in image computing, especially in clinical and biomedical scenarios. Moreover, it functions as a flexible development platform, enabling the rapid creation and deployment of customized solutions for both research and commercial projects. Supported by a robust community of skilled users and developers, 3D Slicer continually advances the field of medical computing. The software is distributed under a BSD-style license, which means there are no restrictions on its use in academic or commercial applications. However, it is important to emphasize that 3D Slicer does not have FDA approval, placing the responsibility on users to comply with applicable regulations. This collaborative ecosystem not only improves the software but also fosters innovation within medical imaging and analysis industries. Additionally, the ongoing contributions from the community help to refine the tools and techniques available, ensuring that 3D Slicer remains at the forefront of technological advancements.

The IMAIOS DICOM Viewer (IDV) is a free online tool that allows users to easily view medical images from various sources, such as computers, CDs, or DVDs, while delivering rapid 2D rendering. Users can effortlessly drag and drop their images into the interface, requiring no specialized computer knowledge to begin viewing. As long as you have a web browser, you can access IDV from your primary device or any other location, providing uninterrupted service without delays. Importantly, the viewer ensures that your files remain on your local device instead of being uploaded to the network, thus protecting the confidentiality of patient medical records. Focused on both speed and user-friendliness, it includes features like scrolling through image series, brightness and contrast adjustments, zooming, panning, measuring angles or distances in centimeters, and applying preset windowing for CT scans. Accessible to all through IMAIOS and the IDV app, this DICOM viewer is available free of charge for personal and non-commercial use, making it a significant asset for anyone needing quick medical imaging access. Its intuitive interface, combined with powerful functionalities, makes IDV a critical resource for medical professionals and students who require efficient and effective tools for their imaging needs. Ultimately, the IMAIOS DICOM Viewer exemplifies a commitment to enhancing the accessibility and usability of medical imaging technology.

The OHIF Viewer, provided by the Open Health Imaging Foundation, is an open-source web-based platform that focuses on medical imaging and offers a solid foundation for developing complex imaging applications. It is engineered to efficiently load extensive radiology studies by pre-fetching crucial metadata and streaming pixel data as necessary. With the incorporation of Cornerstone3D, it adeptly decodes, renders, and annotates medical images. Users enjoy seamless integration with DICOMWeb-compliant image archives and a data source API that facilitates connections with proprietary API formats. The viewer's plugin architecture supports the creation of tailored workflow modes that leverage existing core features. Moreover, its user interface, developed with React.js and Tailwind CSS, not only presents an attractive design but is also designed for extensibility, featuring a library of reusable UI components that improve usability and customization. In addition, this collection of attributes makes the OHIF Viewer a highly adaptable asset in the realm of medical imaging, catering to a wide range of user needs and applications.

Weasis is a free, open-source DICOM viewer that is designed for both standalone applications and web-based platforms, featuring a modular architecture. It is widely utilized in various healthcare settings, including hospitals, health networks, multicenter research initiatives, and even for individual patients. As a cross-platform tool, Weasis integrates smoothly with systems like PACS, RIS, HIS, or EHR, enhancing its versatility. The viewer leverages the OpenCV library to provide high-performance rendering and outstanding quality in medical imaging. From version 4 onward, Weasis presents a user-friendly interface that adapts to different operating systems, thereby improving the viewing experience on high-resolution screens. Notably, it supports a wide range of DICOM file formats, such as multi-frame, enhanced, MPEG-2, and MPEG-4, among others. Users can conveniently import DICOM files utilizing DICOM Query/Retrieve (C-GET, C-MOVE, WADO-URI) and DICOMWeb (QUERY and RETRIEVE) protocols, as well as manage DICOM data stored on CDs or DVDs with DICOMDIR. Moreover, Weasis is committed to ongoing improvement, continually refining its features and performance based on user input. This dedication to adaptability ensures that it remains relevant and effective in the ever-evolving landscape of medical imaging technology.

PostDICOM serves as a robust, cloud-based platform for DICOM file viewing and medical imaging management, allowing users to effortlessly view, store, and share DICOM files through any modern web browser. This adaptable tool supports a wide variety of imaging techniques, including CT, MRI, ultrasound, PET, and X-ray, granting users the ability to remotely access their imaging studies without the need for any software installation. Featuring a comprehensive set of advanced capabilities, PostDICOM facilitates both 2D and 3D image visualization, offers multiplanar reconstruction (MPR), and supports image fusion functionalities. Users can annotate images, conduct measurements, and adjust brightness, contrast, and window levels to optimize their analysis. The platform also includes a management system specifically designed for educational files, allowing the creation and organization of teaching cases, which proves invaluable for learning purposes. Additionally, its collaborative workspaces enable healthcare professionals to seamlessly collaborate while managing user access to streamline their workflow. Moreover, PostDICOM places a strong emphasis on data protection and confidentiality by providing tools for patient data anonymization and ensuring compliance with HIPAA regulations. This combination of extensive features and regulatory adherence underscores its significance in contemporary medical imaging practices, making it an indispensable resource for professionals in the field. Ultimately, its user-friendly interface and comprehensive functionality make it a top choice for medical imaging solutions.

Horos is a free, open-source medical imaging application specifically designed for macOS, offering a robust 64-bit DICOM viewer that meets the diverse requirements of the medical imaging sector. Originating from OsiriX 5.8, it is utilized in various fields such as research, education, and non-diagnostic medical imaging. This adaptable software is capable of managing a wide range of DICOM files and features advanced functionalities, including 2D/3D multi-planar reconstruction, surface and volume rendering, and maximum intensity projection. Users have the ability to effortlessly view, import, and export studies, measure anatomical structures, annotate images, and apply filters or adjustments to improve visualization quality. Additionally, Horos provides anonymization options, DICOM Query/Retrieve capabilities for PACS servers, and supports plugins and scripting for extensive customization. The user interface is designed to be both user-friendly and adaptable, making it accessible for newcomers as well as experienced professionals, while also integrating smoothly with educational resources and teaching methodologies. Its continuous updates and active community backing further solidify Horos as a vital tool that evolves to meet the changing demands of the medical imaging field. With its extensive feature set and usability, Horos stands out as an essential resource for anyone involved in medical imaging.

Sante DICOM Viewer is a comprehensive medical imaging software tailored for Windows, functioning as a viewer, anonymizer, converter, PACS client, mini PACS server, and DICOM CD/DVD burner. It seamlessly supports all DICOM modalities and manufacturers, offering vital features for the viewing and processing of DICOM files effectively. Users benefit from an array of tools, including zooming, panning, rotating, adjusting brightness and contrast, inversion options, and measurement features for distance, angle, and area. The application enhances analysis through both 2D and 3D multi-planar reconstruction, surface and volume renderings, as well as maximum intensity projection. DICOM files can be accessed from various sources, including local drives, removable devices, or network locations, with capabilities for Query/Retrieve operations from PACS servers. Images can be exported in formats such as JPEG, BMP, or AVI, and the software allows users to create DICOM CDs that include a viewer, while ensuring anonymity through file anonymization. Furthermore, it supports printing on Windows and DICOM printers, while offering advanced functionalities like cine loops, study fusion, SUV calculations for PET scans, and customizable toolbars to fit user needs. This extensive versatility establishes Sante DICOM Viewer as an essential resource for professionals engaged in medical imaging, empowering them to perform their tasks with efficiency and precision. In a field where accuracy is paramount, having such a robust tool at their disposal can significantly enhance workflow and patient care outcomes.

Mango Viewer is a powerful graphical user interface designed specifically for the analysis of medical images, accommodating a wide range of file formats, including DICOM, NIfTI, and ANALYZE. This application provides an extensive array of tools for examining and interpreting medical imaging data, featuring multi-planar viewing options such as axial, sagittal, and coronal views, in addition to sophisticated surface rendering capabilities and functions for defining and analyzing regions of interest. The user-friendly interface of Mango facilitates scripting and batch processing, making repetitive tasks much easier for users. Moreover, it includes advanced features like image overlay, image fusion, and visualization of 4D data, along with dynamic contrast-enhanced imaging capabilities. Users can leverage ROI tools to extract important statistical information, such as volume, mean, and standard deviation, and they can create ROIs either manually or through automated methods. Furthermore, Mango’s proficiency in managing multiple images proves beneficial for comparative studies, and its functionality is enhanced by plugins that cater to brain mapping, tractography, and perfusion analysis. Notably, this adaptable software is platform-independent, ensuring users can access it across various systems. With its rich set of features and capabilities, Mango Viewer serves as an invaluable resource for researchers and professionals within the medical imaging domain, facilitating innovative studies and advancements in the field.

3DimViewer is a compact, open-source tool specifically crafted for the effective visualization of medical DICOM images. By leveraging cutting-edge 3D graphics technology, it facilitates speedy and interactive visual representation of medical data tailored to various clinical and research requirements. The application boasts features like multiplanar reconstruction (MPR), volume rendering, and 3D surface rendering, which significantly broaden its applicability across different scenarios. Users are equipped with essential navigation functionalities such as zoom, pan, window/level modifications, and measurements of distance. Furthermore, 3DimViewer provides a simple and intuitive interface for examining DICOM metadata. It can retrieve DICOM image files from local storage or external devices and is available as a standalone executable for both Windows and macOS, which means no installation process is necessary. This accessibility makes 3DimViewer an appealing choice for students, researchers, and professionals in the medical field. The software’s ease of use and robust features position it as an indispensable asset in the domain of medical imaging. Overall, it effectively meets the diverse needs of its users, enhancing the experience of medical data visualization.

Miele-LXIV is a sophisticated 64-bit DICOM viewer and workstation developed by Alex Bettarini. The version designed for macOS is created using Objective-C and compiled with Xcode, and it is available for free download. On the other hand, the Windows and Linux editions have been completely re-engineered in C++ with the help of CMake and wxWidgets, currently featuring about 25% of the capabilities found in the macOS version. For users interested in the Windows version, it requires OpenGL (Core profile), and they can obtain a free evaluation version by contacting the developer directly. The Linux version, which is built with gcc, also necessitates OpenGL drivers (Core profile) and has been tested successfully on Ubuntu 24.04 and Linux Mint 22.1. Beyond serving as a DICOM workstation and viewer, Miele-LXIV also offers a range of additional functionalities. This initiative began in November 2014 as an offshoot of the popular open-source 32-bit project OsiriX, and it has since undergone extensive adaptations to become a fully functional 64-bit application, addressing many limitations of its predecessor. As Miele-LXIV evolves, the goal remains to enhance both user experience and operational capabilities even further, ensuring it meets the demands of its users.

RadiAnt DICOM Viewer serves as a powerful PACS DICOM viewer specifically designed for the medical imaging field, delivering fast and reliable performance alongside an intuitive interface. It enables users to retrieve studies from a variety of sources, including CDs, DVDs, local files, or PACS servers. The software is packed with vital features such as windowing, zooming, panning, rotating, and measurement capabilities. Additionally, with multi-touch functionality, users can effortlessly perform gestures for zooming, panning, and adjusting image windows. RadiAnt also supports multi-frame playback and cine loops, making it adept at handling ultrasound and cardiac studies efficiently. Users can compare multiple series or studies, synchronize scrolling for better analysis, and execute image fusion to enhance their evaluations. Furthermore, the application includes a sophisticated 3D reconstruction module that allows for multiplanar reconstructions, maximum intensity projections, and advanced volume rendering techniques. It also supports the export of images in various formats, including JPEG, DICOM, and video, while providing tools to anonymize sensitive data effectively. An important feature of RadiAnt is its ability to operate as a standalone executable, which adds to its portability and versatility across different environments. This viewer has become an essential asset for medical professionals aiming to streamline and improve their imaging workflows while ensuring high-quality analysis and accuracy. The comprehensive suite of tools offered by RadiAnt enhances the overall efficiency of medical imaging practices.

The DICOM Web Viewer, abbreviated as DWV, serves as a powerful, open-source platform designed for the visualization of DICOM images, crafted using JavaScript and HTML5, which functions flawlessly within modern web browsers without requiring additional plugins or installations. This tool allows users to interact with medical images in the DICOM format, utilizing popular web technologies and offering features such as window/level adjustments, zooming capabilities, panning, as well as measuring distances and angles, in addition to examining DICOM metadata. Furthermore, DWV is capable of managing different image layouts and handles both multi-frame and multi-series DICOM files effectively, ensuring a robust user experience. Users can easily annotate images using basic tools and load files directly from local storage or via URLs, greatly improving accessibility. The drag-and-drop functionality enhances file management, while the adaptable architecture permits developers to integrate the viewer into customized web solutions effortlessly. Continuously updated on GitHub, DWV emphasizes a responsive design to guarantee optimal usability across various devices, including desktops, tablets, and smartphones, making it a highly versatile tool for medical imaging professionals. In addition, the active community support and regular updates bolster the viewer's reliability and performance in managing medical image data efficiently. As such, DWV stands out as a crucial resource for healthcare providers in their imaging workflows.

IntelePACS® is designed to streamline complex environments, providing hospitals, imaging centers, and teleradiology services with a robust platform for managing medical images through storage, retrieval, and distribution. By utilizing secure communication protocols alongside sophisticated compression technologies, our PACS software ensures the protection of both radiology images and patient information, making electronic images accessible anytime and anywhere for any clinical situation. Notably recognized for its outstanding interoperability, this picture archiving and communications system seamlessly integrates with a range of third-party health information systems (HIS), radiology information systems (RIS), and electronic medical record (EMR) platforms. Radiologists benefit from the renowned InteleViewer™, a user-friendly and feature-rich DICOM viewer that simplifies their workflow. This combination of capabilities positions IntelePACS® as a top choice among healthcare providers seeking dependable imaging solutions to enhance their operations. Ultimately, our commitment to innovation and excellence ensures that healthcare professionals have the tools they need to deliver optimal patient care.

MiNNOVAA is a company focused on advancing medical information technology, particularly in medical imaging software and the sharing of medical images. Emphasizing "medical imaging innovation," we distinguish ourselves through agility and cutting-edge technology in the development of our solutions. Our primary focus areas include creating medical image viewers, optimizing radiology workflows, and integrating artificial intelligence into diagnostic reporting. Our dynamic team consists of approximately 20 talented programmers and product managers, along with experts in marketing, sales, technical support, call center operations, and administration, all committed to initiating significant changes in medical imaging and improving healthcare experiences for individuals. We provide a holistic clinical imaging IT solution specifically designed for mid-sized hospitals and imaging clinics, offering a comprehensive suite of features such as core PACS software on-premise, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and a robust workflow engine/RIS. Our dedication to innovation and all-encompassing solutions ultimately seeks to transform the approach and application of medical imaging within healthcare environments. By continuously evolving our offerings, we aim to not only meet current needs but also anticipate future advancements in healthcare technology.