With over 110,000 GitHub stars and one of the fastest-growing open-source communities in the self-hosted space, Immich delivers a Google Photos-grade experience entirely on your own hardware. The platform handles automatic background backup from Android and iOS devices, deduplication, and support for RAW formats, LivePhotos, and MotionPhotos. Its machine learning pipeline runs facial recognition and clustering locally on your server, enabling you to group photos by person without sending a single image to the cloud. CLIP-based semantic search lets you find images by describing their content in natural language, while metadata-driven search covers EXIF data, dates, and locations. The web interface built with SvelteKit provides a responsive timeline view, albums, shared albums with configurable permissions, public sharing links with optional passwords and expiry dates, partner sharing for family libraries, and a global map plotting photos by GPS coordinates. Administrative features include multi-user support with per-user storage quotas, OAuth integration, API key management, and a user-defined storage structure for organizing files on disk. The architecture uses PostgreSQL for metadata, Redis with BullMQ for background job queues handling thumbnail generation, video transcoding, and smart search indexing, and exposes over 400 REST API endpoints documented via OpenAPI with auto-generated SDKs for web, mobile, and CLI clients. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With over 8,000 GitHub stars and continuous development since 2020, LibrePhotos delivers the core intelligence of Google Photos — face recognition, object detection, semantic search, and automatic album generation — entirely on your own hardware without sending a single photo to a third-party server. The Django 5 backend processes uploaded media through a machine learning pipeline that runs face detection via the face_recognition library, clusters identified faces using scikit-learn and HDBSCAN, generates image captions through BLIP and Moondream 2, and classifies scenes using Places365 or Google's SigLIP 2 vision-language model with zero-shot classification against 900+ real-world tags. Semantic search lets you find photos by natural language queries like "sunset at the beach" without manual tagging, while metadata search filters by person, camera, lens, file type, and filesystem path. The React 18 frontend built with Vite presents a timeline view, fullscreen lightbox with slideshow mode, photo detail sidebar showing location and people, and a folder navigation view with breadcrumb paths. RAW files from any camera are converted via ImageMagick, videos processed through FFmpeg, and Live Photos paired with their RAW+JPEG counterparts as unified entries. Public album sharing via link provides fine-grained privacy controls, and duplicate detection uses perceptual hashing to identify near-identical images. Deployment runs as a single unified Docker container or via Docker Compose with Kubernetes manifests also available. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Scroll, do not file: Pixtale turns a folder of photos into a flowing masonry river you can browse for hours, pulling images from local disk, S3, and even Telegram into one gallery. Uploads get automatic thumbnails and high-resolution previews tuned for slow connections, so grandparents on hotel Wi-Fi see pictures fast instead of watching loading spinners. Every photo keeps its EXIF story, camera, lens, exposure, and capture time, and the timeline arranges the library chronologically without you renaming a single file. The Pixtale Sync companion ships photos from phones and PCs to the gallery automatically, ending the cable-and-import ritual after every trip. Favorites, albums, and a trash bin keep curation tidy, while multiple user accounts let each family member sign in to the same library with their own credentials. An admin overview watches photo counts, storage consumption, CPU, and memory, and storage settings let you add or repoint backends as the collection outgrows its first disk. Because the whole gallery runs from one Docker container with a small SQLite database, backups are a folder copy and the library stays portable between machines. Your photos live on your hardware, under your accounts, with no per-seat pricing as the archive grows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Instead of paging through albums, Photofield lays a whole photo library out on one zoomable canvas, where thousands of thumbnails sharpen into full-resolution pictures as you zoom. Collections come straight from directories named in a configuration file. One setting turns every subfolder into its own collection. Pick a layout per collection: album grouped by date, timeline with month markers, wall, map, highlights with dates and place names, or flex. Sort oldest first, newest first, or shuffled hourly, daily, weekly, or monthly. Tiles load progressively, and an info drawer shows the date, file name, and dimensions. A right-click menu opens or copies an image, copies its link, or finds similar images. Originals are never modified, so a read-only mount is safe. Indexing runs at up to 10,000 files per second on a fast SSD with a warm cache. JPEG, PNG, AVIF, HEIC, DNG, GIF, MP4, and MOV files are recognized. Place names resolve from an embedded database, with no external lookups. The optional photofield-ai companion adds search by words like beach sunset or cat eyes, plus a Faces layout of detected faces. Alpha tagging lets you label photos. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

HomeGallery turns the photo and video folders on your server into a mobile-friendly web gallery. Your files and folder structure stay exactly as they are. Point it at camera files, phone files, or offline drives, and previews and metadata are extracted once. Scroll one endless stream, newest first. Open any image for its file name, dimensions, capture date, source paths, camera settings, street address, tags, and detected objects. Swipe between photos, then pinch or double-tap to zoom. The Map view clusters photos by place, with counts. The plant button lists similar images, so one sunset finds every other sunset. Face search finds the same person in other photos. A search box accepts expressions like tags in (vacation, family), type:video year in [2015:2020] order by duration, or not exists(geo). In Edit mode, select many photos at once and type comma-separated tags; a minus prefix removes one. Videos are transcoded for playback. Renamed or moved files keep their previews. An archive disk can stay unplugged once indexing is done. Optional logins limit each user to a query filter. Install it as a PWA for a lightweight mobile app. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Damselfly puts a searchable brain over a folder-based photo archive, so a library of hundreds of thousands of images stays browsable from any browser. Point it at your existing folders and it indexes everything in the background, generating thumbnails and reading IPTC keywords, EXIF camera data, and file names into one catalogue. Search returns results in under a second even across 500,000 photographs, and advanced filters narrow by date range, camera or lens model, file size, orientation, detected objects, or recognized faces. Face detection and recognition run locally and offline, so you tag a person once and Damselfly finds them in other shots without sending family photos to a cloud service. Keyword tagging writes metadata with ExifTool without re-encoding JPEGs, keeping originals byte-identical while tags travel with the files into DigiKam, Photoshop, or other tools. The Picasa-style basket collects picks from search results for download, watermarked export for social media or email, or upload to WordPress, and baskets can be personal or shared between users. Photos with location metadata appear on a map, visually similar images can be found from a single example, and untagged shots can be listed so nothing stays unlabelled. Accounts with role-based permissions let everyone browse while only editors tag or reorganize, and an optional desktop client syncs basket selections to a laptop for editing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Pictaria Server sits beside your Immich instance and makes a photo library of thirty thousand images legible again, surfacing the trips, people, and best shots buried under duplicate bursts and forgotten folders. It starts with Insights: a clickable timeline of your years, detected trips, a people constellation linked by who appears together, place and camera rankings, and records like your busiest day. Click any number and you land on the actual photos, ready to open in Immich, turn into an album, or send onward. Enrich puts an AI to work describing what it sees, writing captions, menu-driven tags, and quality scores for every photo using a local model through Ollama or LM Studio, or a cloud provider with your own key, on a scheduled daily budget. Those tags can sync back into Immich, so searching improves everywhere, not just here. Curate then collapses bursts and near-duplicates into stacks with a suggested keeper, and one keystroke keeps the best and skips the rest. Smart Albums compose rules from people, places, dates, cameras, and tags, preview the result count, and maintain real Immich albums on a schedule. Frame owners get remote control, display metrics, and voice photo questions, while the Activity feed and runtime-editable Settings keep the whole box manageable from the browser. It connects with a limited-permissions API key and cannot delete a single photo. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Imagor Studio is a photo workspace where browsing a huge library and editing what you find happen in the same place, and the originals never get touched. The gallery scrolls virtually through thousands of images with no indexing wait, while drag-and-drop moves files between folders and multi-select handles bulk work. Open any image and the editor lets you stack layers: other images as overlays or watermarks, text layers you can style inline, and solid color layers with blend modes and opacity. Adjust color, apply effects, and crop with a live preview, then copy the generated transformation URL and use that rendition anywhere without exporting a file. A look you build once can be saved as a template in portable JSON and applied across the whole library, so a watermark, a resize, and a color grade become one reusable recipe. You can also start from a blank canvas at any dimensions and compose from scratch. Storage stays yours throughout: point it at a local folder, S3, MinIO, or Cloudflare R2 and manage the same library the same way. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Urocissa is a self-hosted photo and video gallery engineered to browse, search, and filter a million-image library in under a second on modest hardware. Its photo stream scrolls endlessly without pagination or lazy loading, flying past the browser DOM height limit that breaks other galleries long before a million items. Search understands boolean operators, so a query mixing and, or, and not narrows a lifetime of photos in milliseconds, and select-all is equally instant across the whole collection. Point it at folders and it watches them for new arrivals, importing photos and videos automatically while duplicate detection keeps redundant copies out. EXIF data is extracted for every image, and your own tags layer manual organization on top, with timeline navigation and rotation built in. Albums share collections with family or clients, a read-only mode publishes a public gallery safely, and videos play inline without leaving the page. The index that makes this fast lives in memory at roughly half a gigabyte per million photos, and the whole application ships as a binary of about 25 megabytes, optionally protected by a password. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Immich Insights turns the photo library you already keep in Immich into a year-in-review style dashboard of how you actually shoot. Connect it with your own Immich API key and it reads your asset metadata into a local snapshot, without copying your original photos, then builds the overview Immich itself never shows: total photos and videos, storage used, favorites, albums, and your newest additions. Pick any year or a custom date range and see that period's shooting volume, favorites, albums, and devices. Camera statistics break your library down by device and manufacturer, with leaderboards you can correct when the same camera appears under different names. Exposure analysis shows your ISO, focal length, and shutter speed distributions, the focal lengths you reach for most, and how your settings shift by hour of day. Rhythm charts map your shooting by month, weekday, and hour, with a calendar heatmap of your most active days. A zoomable timeline marks the moments that matter: first photo, a new device joining the library, your longest gap, your busiest day ever. People and location views count faces and mapped places by country and continent, and a photography profile scores your habits. Clicking any chart value opens the matching photo thumbnails, and reports export as PDF, CSV, or JPG. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Your product photos, tutorial clips, and user uploads can live on your own server with Openinary, a media platform that resizes, crops, converts, and delivers images and videos through simple URL parameters. Request a variant by editing the address: set width and height, fill-crop around a detected face, convert to AVIF or WebP, trim a video between two timestamps, or pull a thumbnail from the fifth second. Uploads land in S3-compatible storage you control, from AWS S3 and Cloudflare R2 to MinIO, and repeat requests are served from automatic caching instead of reprocessing the original. The admin dashboard keeps assets organized for browsing, searching, and reviewing what your applications actually serve. API keys gate programmatic uploads, so a web app, mobile backend, or build script can publish media without sharing storage credentials. Setup runs through a scaffolding command that writes the Compose file and environment, then walks you through creating the first admin account. Teams escaping per-transformation pricing keep the same URL workflow their code already uses and move the bill to a fixed server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Born at Brazilian media giant Globo.com, Thumbor answers imaging CDNs like Imgix and Cloudinary with an HTTP service where every image variant is just a URL. Ask for /300x200/smart/your-image.jpg and Thumbor fetches the original, crops and resizes on demand, and caches the result - one source file, unlimited renditions, no batch pre-generation pipeline. The "smart" in the URL is the signature feature: OpenCV-based face detection finds people in the frame and crops around them (no more thumbnails with severed heads), and when no faces exist, feature detection finds visually important corners and computes a weighted center of mass as the focal point. Beyond cropping, a chainable filter pipeline handles brightness, contrast, grayscale, blur, red-eye removal, rounded corners, rotation, watermarks, and format conversion with quality control - applied in order via URL segments. All common image formats work out of the box, and every layer is pluggable: loaders (HTTP, local, S3), storages and result storages (local, S3, Ceph, and community backends), engines, optimizers, filters, and even custom detectors, with the awesome-thumbor list cataloging the ecosystem. URL signing prevents abuse of your processing capacity. Integrations exist for Django, Rails, Node, WordPress, and most frameworks. MIT-licensed, battle- tested for over a decade.

PiGallery2 turns any mounted folder of images and home videos into a high-speed web gallery without modifying your raw files or forcing migration into a database silo. The server scans directories in read-only mode, keeping folder structures intact while generating responsive previews with hardware-accelerated Sharp processing. Users can inspect detailed camera EXIF metadata, toggle custom full-screen lightboxes with swipe gesture navigation, and stream high-definition MP4 or WebM video clips. Embedded GPS coordinates automatically pin photos onto interactive OpenStreetMap or Mapbox views, allowing travel albums to display alongside synchronized GPX track routes. Powerful boolean search expressions filter across dates, keywords, camera models, and Adobe XMP face regions without requiring expensive background machine learning models. Built-in link sharing creates password-protected access links with custom expiration dates for friends and family. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Afilmory turns a storage bucket full of originals into a polished photography portfolio, complete with EXIF panels, a GPS map, and a GPU-accelerated viewer that makes full-resolution images feel instant. Point the builder at Amazon S3, Cloudflare R2, MinIO, Backblaze B2, a GitHub repository, an Eagle library, or a plain local folder, and it syncs your photos, converts HEIC and TIFF files for the web, generates multi-size thumbnails with ThumbHash placeholders, and extracts complete metadata into a manifest the gallery reads at runtime. Visitors browse a responsive masonry grid that loads progressively, open any shot in a WebGPU viewer (WebGL fallback included) with smooth zoom and pan, and inspect camera body, lens, focal length, aperture, ISO, and GPS coordinates for every frame. Geotagged work appears on an interactive MapLibre map, iPhone Live Photos play back as motion, HDR gain-map images render properly on HDR displays, and Fujifilm shooters get their film simulation recipes displayed alongside the shot. Photographers can organize by the folders they already keep, since directory structure becomes tags automatically, and backend-powered galleries add visitor comments and reactions. Deploy it as a static site on any CDN or as a server-rendered Node.js application with per-photo Open Graph previews for sharing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With over 3,800 GitHub stars and continuous development since 2002 spanning 24 years of active maintenance through version 16.4.0 released in May 2026, Piwigo has proven itself as one of the most battle-tested self-hosted photo gallery platforms available, trusted by professional photographers managing 150,000+ high-resolution images alongside small teams sharing event photos. The PHP backend with MySQL or MariaDB storage serves a responsive web interface that organizes photos into hierarchical albums with nested sub-albums, tag-based categorization, and smart albums generated dynamically from search criteria. Batch management tools handle bulk uploads, metadata editing, tag assignment, and album moves across thousands of images simultaneously. User permission controls define access at the album level with configurable public, private, and group-restricted visibility, while guest access allows public galleries without authentication. Image processing via ImageMagick or PHP GD generates multiple thumbnail sizes, watermarks, and responsive derivatives automatically. The plugin ecosystem with over 200 community-built extensions adds functionality from EXIF metadata display and GPS mapping to social sharing, download controls, and Lightroom synchronization for desktop workflow integration. The REST Web API with personal API key authentication enables programmatic album creation, photo uploads, and metadata queries from external applications. Mobile apps for iOS and Android provide on-the-go upload and browsing capability. Docker deployment via the official container or traditional LAMP installation on any hosting provider. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.

Thousands of frames land on the card after a wedding shoot, and Facet finds the keepers among the bursts, blinks, and near-duplicates. Facet scores every photo across nine dimensions, aesthetic quality, composition, face quality, eye sharpness, technical sharpness, color, exposure, subject saliency, and dynamic range, with category-specific weights for portraits, landscapes, wildlife, and 30-plus other content types. The culling darkroom groups bursts and visually similar frames, protects exposure brackets and panorama sequences, and flags closed eyes per face, so you keep the sharpest open-eyed frame and reject the rest in one pass. Face detection clusters into people you can rename, merge, and search, while albums, star ratings, favorites, and AI content tags organize what survives. Browse survivors through a mosaic gallery with semantic search by plain description, a timeline, a geotag map, and slideshow capsules. Statistics dashboards track your gear usage and metric correlations, and the weight editor learns from A/B comparisons so scores drift toward your own taste. Shared album links support client proofing with hearts and comments, phones auto-upload over the built-in WebDAV inbox, and ratings round-trip to Lightroom, darktable, and Immich through XMP sidecars. Everything runs locally on your own hardware: no cloud accounts, no subscriptions, no photo ever leaves the server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.