gThumb
High-performance open-source image management and browser for the Linux desktop ecosystem.

A fast, highly configurable, and hardware-accelerated image viewer for power users.
PhotoQt is a highly versatile, performance-oriented image viewer built using the C++ and Qt framework, specifically leveraging QML for its interface. In the 2026 landscape of digital asset management, PhotoQt stands out as a leading 'privacy-first' alternative to cloud-integrated galleries. Its architecture is designed for speed, utilizing hardware acceleration (OpenGL or Vulkan) to render high-resolution images and RAW formats with minimal latency. Unlike traditional viewers, PhotoQt offers a 'Chromeless' experience by default, allowing users to focus entirely on the content while exposing deep configuration options through intuitive keyboard shortcuts and mouse gestures. Technically, it integrates with several backends including GraphicsMagick, ImageMagick, Libraw, and Exiv2, ensuring compatibility with virtually every file format, from standard JPEGs to specialized medical or scientific imaging. As of 2026, its development has matured to support native Wayland protocols on Linux and advanced HDR10+ metadata rendering on Windows, making it the preferred triage tool for professional photographers and digital archivists who require a lightweight yet powerful desktop application without telemetry or subscription models.
Ability to toggle between GraphicsMagick, ImageMagick, and DevIL for rendering logic.
High-performance open-source image management and browser for the Linux desktop ecosystem.
A high-performance, metadata-driven image viewer and browser for the KDE ecosystem.
High-performance, metadata-driven image culling and triage for professional AI datasets and photography.
A high-performance, open-source image synchronization and visualization engine for professional workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Utilizes the GPU for image scaling and transition effects.
User-defined QML templates to display EXIF, IPTC, and XMP data in real-time.
A UI designed with zero window borders and auto-hiding menus.
Optional plugin support for local face detection using OpenCV (2026 update).
Every action can be mapped to complex key combinations or sequences.
Tile-based rendering for ultra-large format images (TGA, TIFF).
Slow loading times in Lightroom when initially reviewing thousands of RAW files.
Registry Updated:2/7/2026
Users wanting to avoid Google/Apple AI scanning of personal memories.
Quickly viewing high-bitrate TIFF or DICOM-derived files without heavy specialized software.