Best open-source alternatives to Adobe Lightroom

Immich is a self-hosted photo and video management system designed for people who want their media library stored and accessed on their own infrastructure. It provides a mobile and web experience for uploading, browsing, backing up, and organizing photos and videos, with support for features like metadata search, albums, sharing, and facial recognition. The project is aimed at users who want a high-performance alternative to cloud photo services while retaining control over their data. The README also highlights administrative user management, OAuth support, public and partner sharing, and offline support in the mobile app, indicating that it serves both individual households and multi-user deployments.

PhotoPrism is a self-hosted photo and video management application designed for people who want a private way to browse, organize, search, and share their media. The README presents it as an AI-powered system that can tag content, recognize faces, and surface photos through powerful filtering and search, while emphasizing privacy and independence. It is aimed at users who want a browser-based experience across desktop and mobile devices, with a PWA that can be installed like a native app. The project also supports media ingestion and access through tools such as WebDAV and compatible backup apps, making it useful both as a personal photo library and as a syncing/backup hub for phones and computers.

LibrePhotos is a self-hosted photo management application aimed at users who want to organize and search personal media on their own infrastructure. It focuses on automatically enhancing large photo libraries with machine-learning features such as face recognition, object detection, semantic search, and image captioning-related capabilities. The project is built as a web application with a Django backend and a React/TypeScript frontend, and it is designed to run in Docker-based environments. It is suitable for people managing family or personal photo archives, especially those who want timeline browsing, event-based album generation, metadata search, and support for raw photos and videos. The README also points to interactive API documentation, which suggests it can be integrated with other tools.

Damselfly is a self-hosted photo management system aimed at users with large, folder-based image libraries. It combines a web interface with a desktop client so photos can be searched, tagged, organized, and exported across multiple devices without moving the whole collection to local storage. The project emphasizes fast retrieval and workflow-friendly management. It supports broad image format coverage, full-text and advanced search, non-destructive EXIF keyword updates, background indexing, thumbnail generation, and selection baskets for downloading or exporting images. It also includes AI-assisted capabilities such as face detection, face recognition, object detection, and image color classification. Damselfly is designed for multi-user deployments, with user accounts, roles, and shared or user-specific baskets. The README indicates it runs on Windows, Linux, macOS, and Docker, and that its latest face recognition works locally and offline.

FerrumPix is a cross-platform desktop application for managing and editing photos locally. It targets hobby photographers and enthusiasts who want a fast native workflow for browsing, rating, tagging, viewing, developing RAW images, and doing pixel-level edits without relying on a browser-based service or a large ecosystem. The project combines photo library features, non-destructive editing, batch operations, and detailed metadata tools in a single app. It can work with local folders and also connect to self-hosted Immich or Nextcloud servers for browsing, upload, download, editing, and metadata synchronization. The README emphasizes that originals are preserved, edits are saved intentionally, and many operations remain local to the machine.

Imagor Studio is a self-hosted image gallery aimed at users who want a browser-based way to manage and edit large photo collections. It combines gallery browsing with built-in editing tools, making it suitable for personal libraries as well as small teams that want to organize images without relying on external cloud services. The project emphasizes speed and simplicity: it uses virtual scrolling to browse large sets of images quickly, supports drag-and-drop organization and multi-select bulk actions, and applies edits non-destructively through URL-based transformations. The quick start shows a Docker-based setup with SQLite and a mounted local image folder, and the README points users to hosted documentation for deeper configuration and usage details.