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KHEOPS review

Free#19 of 26 in Medical Imaging Software

A free, self-hostable DICOM archive for collaborative study sharing.

7.5/10Editor score
KHEOPS7.5 Visit KHEOPS

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

KHEOPS is a DICOM-compliant image archive and sharing platform developed at Campus Biotech in Geneva. It is aimed at scientists and researchers handling medical imaging data in research projects and collaborative studies. Users can upload images manually or through a DICOM gateway, share studies or series, and organize series into shareable albums. Access is available through web, macOS, iOS, Android, cloud, and self-hosted deployments.

Its ecosystem centers on standards-based exchange and familiar viewers. KHEOPS communicates with DICOMweb-capable PACS and supports RESTful API access plus DICOMweb query and transfer. Published integrations include OHIF, Weasis, OsiriX, DCM4CHEE, Google Cloud Healthcare API, and Keycloak. Local installation uses Docker and is typically orchestrated with Docker Compose or Kubernetes, while documentation also describes a cloud-hosted option. Email and documentation are the listed support channels, giving teams reference material for deployment and integration work.

The open-source, free-plan model suits organizations that want control over storage and sharing without adopting a proprietary archive. KHEOPS covers core image management, collaboration, viewer access, and PACS connectivity, but its supplied capabilities do not include integrated AI analysis tools. Teams seeking a focused platform for research data exchange and self-managed infrastructure should consider it; groups needing deeper diagnostic workflows or built-in AI features should evaluate alternatives with those capabilities.

KHEOPS pros and cons

  • Where it wins
    • Free, MIT-licensed platform with cloud and self-hosted deployment
    • Shares studies, series, and albums with other users
    • Works with OHIF, Weasis, OsiriX, and DICOMweb PACS
  • Where it doesn't
    • Does not include integrated AI analysis tools
    • Docker deployment may require Compose or Kubernetes expertise
    • Emphasizes image management and sharing over diagnostic tooling

KHEOPS fact sheet, pricing and score →

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