Compare the Top Photo Management Software for Linux as of November 2025

What is Photo Management Software for Linux?

Photo management software enables users and organizations to manage and organize their photos and photo libraries. Photo management software tools may offer different features such as photo editing, categorization, tagging, indexing, searching, and more. Some photo management software comes with AI functionality such as image recognition and processing. Compare and read user reviews of the best Photo Management software for Linux currently available using the table below. This list is updated regularly.

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    4ALLPORTAL

    4ALLPORTAL

    4ALLPORTAL GmbH

    Unlock the full potential of your product data with 4ALLPORTAL, a scalable, modular platform that seamlessly integrates PIM and DAM to meet the dynamic needs of marketing teams across industries. Whether you choose On-Prem or Cloud, we offer the flexibility to match your unique business requirements. Centralize all assets – images, videos, documents, and product information – for unmatched consistency Update once, publish everywhere – ensure your product content is automatically synchronized across websites, online stores, and marketplaces Scale with ease – adapt and expand the platform as your business grows and evolves We don’t just provide software – we provide a team dedicated to optimizing your workflows and driving results. With 4ALLPORTAL, you get personalized support at every step. Tell us your requirements in a short consultation now!
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  • 2
    LibrePhotos

    LibrePhotos

    LibrePhotos

    A self-hosted Google Photos clone, with a slight focus on cool graphs. LibrePhotos is a fork of Ownphotos. A self-hosted open-source photo management service, with a slight focus on cool graphs. Django backend and React frontend. Step-by-step installation instructions are available in our documentation. Support for all types of photos including raw photos, support for videos, timeline view, scans pictures on the file system, with multiuser support. Generate albums based on events like "Thursday in Berlin", face recognition, face classification, reverse geocoding, object/scene detection, semantic image search, and search by metadata. You need a x86 processor, and it is recommended to have 8GBs of RAM. You will need at least 10 GB of HDD Space for the Docker images. It needs that space because of the machine learning models. Librephotos will also create a database and thumbnails which will need additional space. LibrePhotos comes with separate backend and frontend servers.
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