Best DICOM Viewers for Mac of 2025

OsiriX is a highly esteemed medical imaging software designed for viewing DICOM (Digital Imaging and Communications in Medicine) files, catering especially to healthcare professionals who require efficient management and analysis of medical images. This versatile platform boasts capabilities for 2D, 3D, and 4D visualization, complemented by sophisticated post-processing tools that enhance diagnostic precision. Its advanced features, including volume rendering and detailed image manipulation, make it a preferred choice among radiologists, clinicians, and researchers worldwide. Available in two versions, OsiriX provides a free (Lite) option alongside a paid (MD) version that includes enhanced functionalities and necessary certifications for clinical application, such as FDA and CE approvals. Additionally, the software's user-friendly interface and robust performance contribute to its widespread adoption in the medical community.

TrialKit is a cloud-based platform available via both a web and native mobile app, enabling end-to-end clinical trial management for medical device, diagnostics, digital therapeutics, and biopharma companies of all sizes. Design and deploy validated studies in days not weeks using our intuitive study builder that requires no programming. Thousands of global users have leveraged the flexibility of TrialKit to deploy over 8,000 studies across all phases of development.

3D Slicer is an open-source software tool that provides a comprehensive platform for visualizing, processing, segmenting, registering, and analyzing medical and biomedical 3D images and meshes. In addition to these features, it supports the planning and navigation of image-guided medical procedures. Functioning as a desktop application, 3D Slicer tackles complex challenges in image computing, specifically tailored for clinical and biomedical contexts. Furthermore, it acts as a development framework that allows for the swift creation and implementation of custom applications for both research and commercial endeavors. The platform is backed by a vibrant community of skilled users and developers who work together to enhance the field of medical computing. Distributed under a BSD-style license, 3D Slicer places no limitations on its use in both academic and commercial settings, but it is important to note that the software is not FDA-approved, placing the onus on users to ensure they meet relevant regulatory requirements. This collaborative environment fosters innovation and encourages the development of unique solutions to meet the evolving needs of the medical field.

IMAIOS DICOM Viewer (IDV) is a complimentary online platform that enables users to view medical images directly from their computer, CD, or DVD, providing exceptionally quick 2D rendering. There is no need for advanced computer skills; just drag and drop your images into the designated area to view them in the DICOM viewer. All you need is a web browser to utilize IDV, whether from your main workstation or a different location, ensuring seamless access without delays. Importantly, your files remain on your computer, not uploaded to our network, which safeguards the privacy of patients' medical information. Designed for speed and ease of use, it offers features such as scrolling through image series, adjusting brightness and contrast, zooming in and out, panning images, measuring angles or distances in centimeters between points, and applying preset windowing settings for CT scans. Available for everyone through IMAIOS and our IDV app, this DICOM viewer is free for personal and non-commercial applications, making it a valuable resource for those needing quick access to medical imaging. With its user-friendly interface and robust capabilities, IDV stands out as an essential tool for medical professionals and students alike.

The Open Health Imaging Foundation (OHIF) Viewer is an open-source web platform dedicated to medical imaging, providing a robust framework for the creation of intricate imaging applications. It is designed to quickly load large radiology studies by pre-fetching essential metadata and streaming imaging pixel data as needed. With the integration of Cornerstone3D, it efficiently decodes, renders, and annotates medical images. Users benefit from seamless compatibility with DICOMWeb-compliant image archives and a data source API that allows for integration with proprietary API formats. The viewer’s plugin architecture enables the development of specialized workflow modes that make use of existing core functionalities. Additionally, its user interface, crafted using React.js and Tailwind CSS, not only boasts a visually appealing design but is also built for extensibility, featuring a library of reusable UI components that enhance overall usability and customization. This combination of features positions the OHIF Viewer as a versatile tool in the field of medical imaging.

Weasis is an open-source DICOM viewer available for free, designed for both standalone applications and web-based environments, characterized by its highly modular design. It finds extensive application in various healthcare contexts, such as hospitals, health networks, multicenter research studies, and even for personal use by patients. As a cross-platform solution, Weasis seamlessly integrates with systems like PACS, RIS, HIS, or EHR, providing versatility in its usage. The viewer utilizes the OpenCV library to ensure high-performance rendering and exceptional quality in medical imaging. Starting from version 4, Weasis boasts a user-friendly interface that adapts to different operating systems, optimizing the viewing experience on high-resolution displays. Among its notable features is compatibility with a diverse array of DICOM file formats, including multi-frame, enhanced, MPEG-2, MPEG-4, and others. Additionally, users can easily import DICOM files using DICOM Query/Retrieve (C-GET, C-MOVE, WADO-URI) and DICOMWeb (QUERY and RETRIEVE) protocols, as well as manage DICOM data on CDs or DVDs with DICOMDIR. Furthermore, Weasis continues to evolve, incorporating user feedback to enhance functionality and performance over time.

PostDICOM is a comprehensive, cloud-based DICOM viewer and medical imaging management platform that facilitates the easy viewing, storage, and sharing of DICOM files directly through any contemporary web browser. This versatile tool accommodates a diverse range of imaging modalities, such as CT, MRI, ultrasound, PET, and X-ray, allowing users to access their studies remotely without the necessity of installing additional software. Equipped with an array of advanced features, PostDICOM supports both 2D and 3D image viewing, enables multiplanar reconstruction (MPR), and allows for image fusion capabilities. Users have the ability to annotate images, perform measurements, adjust brightness and contrast, and implement window leveling to enhance their analysis. Furthermore, it provides a management system for teaching files, making it an invaluable resource for educational purposes by enabling the creation and organization of teaching cases. With the collaborative workspaces feature, medical professionals can work together efficiently while managing user access permissions for enhanced workflow. Additionally, PostDICOM prioritizes data security and privacy by including tools for patient data anonymization and adhering to HIPAA standards. This combination of functionality and compliance makes it an essential tool in modern medical imaging practice.

Horos is a free and open-source medical imaging application tailored for macOS, providing a comprehensive 64-bit DICOM viewer that caters to the needs of the medical imaging community. Developed from OsiriX 5.8, it serves purposes in research, education, and non-diagnostic medical imaging contexts. This versatile tool can handle a broad spectrum of DICOM files and boasts advanced features like 2D/3D multi-planar reconstruction, surface and volume rendering, and maximum intensity projection. Users can seamlessly view, import, and export studies, measure anatomical structures, annotate images, and utilize filters or adjustments for enhanced visualization. Furthermore, Horos includes anonymization capabilities, DICOM Query/Retrieve functions from PACS servers, and supports plugins and scripting, allowing for extensive customization. The user interface is both intuitive and flexible, making it suitable for beginners and seasoned professionals alike, and it integrates well with educational materials and teaching workflows. Additionally, its ongoing updates and community support ensure that Horos remains relevant and effective for various medical imaging needs.

Sante DICOM Viewer is an advanced medical imaging application designed for Windows that serves as a viewer, anonymizer, converter, PACS client, mini PACS server, and DICOM CD/DVD burner. It is compatible with all DICOM modalities and manufacturers, providing essential functionalities for the effective viewing and processing of DICOM files. Users can take advantage of a range of tools, including zoom, pan, rotate, brightness and contrast adjustments, inversion features, along with measurement capabilities for distance, angle, and area. The software facilitates both 2D and 3D multi-planar reconstruction, surface and volume rendering, as well as maximum intensity projection to enhance analysis. DICOM files can be accessed from local drives, removable devices, or network locations, and the program also allows for Query/Retrieve operations from PACS servers. Images can be exported in formats such as JPEG, BMP, or AVI, and users can create DICOM CDs embedded with a viewer while ensuring privacy through file anonymization. Additionally, Sante DICOM Viewer supports printing on both Windows and DICOM printers and features sophisticated tools like cine loop, study fusion, SUV calculations for PET studies, and customizable toolbars tailored to user preferences. This versatility makes it an invaluable tool for professionals in the medical imaging field.

Mango Viewer, a robust graphical user interface for medical image analysis, is specifically crafted to accommodate a variety of file formats, such as DICOM, NIfTI, and ANALYZE, among others. This tool offers a comprehensive suite of functionalities for exploring and interpreting medical imaging data, which includes multi-planar viewing options like axial, sagittal, and coronal perspectives, as well as advanced surface rendering and the capability to define and analyze regions of interest. Mango is equipped with a user-friendly interface that facilitates scripting and batch processing, streamlining repetitive tasks for users. Additionally, it encompasses features such as image overlay, image fusion, and the ability to visualize 4D data, alongside dynamic contrast-enhanced imaging analysis. The ROI tools enable extraction of statistical data, including volume, mean, and standard deviation, with the option to create ROIs either manually or through algorithmic generation. Furthermore, Mango excels in handling multiple images, making it ideal for comparative studies, and enhances its functionalities through plugins that support brain mapping, tractography, and perfusion analysis. Notably, this versatile software operates independently of any platform, ensuring accessibility across different systems. With its rich feature set, Mango Viewer stands out as a valuable asset for researchers in the field of medical imaging.

3DimViewer is a lightweight, open-source application designed to visualize medical DICOM images effectively. Utilizing advanced 3D graphics technologies, it enables rapid and interactive visualization of medical data, catering to a variety of clinical and research needs. The software supports features such as multiplanar reconstruction (MPR), volume rendering, and 3D surface rendering, enhancing its utility in diverse applications. Users benefit from essential image navigation tools, including zoom, pan, window/level adjustments, and distance measurements. Additionally, 3DimViewer allows for the examination of DICOM metadata through a straightforward, user-friendly interface. It can access DICOM image data from local drives or external media and is provided as a standalone executable for both Windows and macOS, eliminating the need for installation. By offering an accessible solution for visualizing 3D medical imaging data, 3DimViewer serves students, researchers, and professionals alike, ensuring that they have a fast and simple tool at their disposal. This makes it an invaluable resource in the field of medical imaging.

Miele-LXIV is a 64-bit DICOM viewer and workstation created by Alex Bettarini. The macOS variant, developed in Objective-C and compiled with Xcode, is offered as a free download. In contrast, the Windows and Linux versions are entirely re-engineered in C++ using CMake and wxWidgets, currently boasting around 25% of the features available in the macOS edition. To utilize the Windows version, OpenGL (Core profile) is required, and interested users can obtain a complimentary evaluation version by reaching out to the developer. Similarly, the Linux release, developed with gcc, also demands OpenGL drivers (Core profile) and has been verified for functionality on Ubuntu 24.04 and Linux Mint 22.1. Miele-LXIV serves not only as a DICOM workstation and viewer but also encompasses additional capabilities. This project originated in November 2014 as a derivative of the well-known open-source 32-bit project OsiriX, yet it has undergone significant modifications to transform it into a 64-bit application while eliminating many of the constraints imposed by the 32-bit predecessor. As a result, it continues to evolve, aiming to enhance the user experience and functionality further.

RadiAnt DICOM Viewer is a robust PACS DICOM viewer tailored for medical imaging, ensuring swift and dependable functionality alongside a user-friendly interface. It allows users to access studies directly from various sources such as CDs, DVDs, local directories, or PACS servers. The software is equipped with a range of essential features including windowing, zooming, panning, rotating, and measurement tools. With multi-touch support, users can easily utilize gestures for zooming, panning, and adjusting windows. Additionally, RadiAnt accommodates multi-frame playback and cine loops, effectively handling ultrasound and cardiac examinations. Users have the capability to compare multiple series or studies, synchronize scrolling, and execute image fusion for enhanced analysis. The application also boasts a sophisticated 3D reconstruction module, facilitating multiplanar reconstructions, maximum intensity projections, and volume rendering techniques. It supports the export of images in JPEG, DICOM, and video formats, and incorporates tools for anonymizing sensitive data. Notably, RadiAnt can function as a standalone executable, which enhances its portability and ease of use in various settings. This viewer is an indispensable tool for medical professionals seeking to optimize their imaging workflows.

DWV, or DICOM Web Viewer, is an efficient and open-source tool for viewing DICOM images, developed using JavaScript and HTML5, which operates seamlessly within contemporary web browsers, eliminating the need for any extra plugins or installations. This viewer empowers users to engage with DICOM medical images through widely used web technologies, featuring capabilities such as adjusting window/level settings, zooming in and out, panning across images, and measuring distances and angles, along with inspecting DICOM tags. Additionally, DWV accommodates various image layouts and supports both multi-frame and multi-series DICOM files, ensuring comprehensive functionality. Users can annotate images with basic tools and can easily load files from local storage or via URLs, enhancing usability. The viewer's drag-and-drop feature allows for convenient file management, and its flexible architecture enables developers to embed it into tailored web applications. Actively maintained on GitHub, DWV prioritizes responsive design, ensuring optimal accessibility across a range of devices including desktops, tablets, and smartphones, making it a versatile solution for medical imaging needs. Moreover, the viewer's ongoing updates and community support contribute to its robustness and reliability in handling medical image data.

IntelePACS® is crafted to simplify intricate settings, offering hospitals, imaging centers, and teleradiology entities a powerful platform for the storage, retrieval, and distribution of medical images. By integrating secure communication protocols and advanced compression technologies, our PACS software guarantees the integrity of both radiology images and patient data, ensuring that electronic images are readily available anytime, anywhere, and for any case. Distinguished by its exceptional interoperability, this picture archiving and communications system integrates effortlessly with various third-party health information systems (HIS), radiology information systems (RIS), and electronic medical record (EMR) solutions. For radiologists, it features the acclaimed InteleViewer™, an intuitive and comprehensive DICOM viewer celebrated for its user-friendliness and functionality. The combination of these features makes IntelePACS® a preferred choice for healthcare providers looking for reliable imaging solutions.

MiNNOVAA is a company specializing in medical information technology, particularly in the realms of medical imaging software and the exchange of medical images. With the guiding principle of "medical imaging innovation," we stand out for our nimbleness and the state-of-the-art technology we utilize in crafting our solutions. Our main areas of concentration are the development of medical image viewers, enhancement of radiology workflows, and the incorporation of artificial intelligence in diagnostic reporting. Our energetic team comprises around 20 skilled programmers and product managers, alongside professionals in marketing, sales, technical support, call center operations, and administration, all dedicated to driving a meaningful transformation in the field of medical imaging and enhancing individual healthcare experiences. We offer a comprehensive clinical imaging IT solution tailored for mid-sized hospitals and imaging clinics, featuring a wide array of functionalities such as on-premise core PACS software, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and an efficient workflow engine/RIS. Ultimately, our commitment to innovation and comprehensive solutions aims to redefine how medical imaging is approached and utilized within healthcare settings.