Immich Gallery

Immich is a self-hosted photo and video management platform with mobile and web clients. It uploads and backs up media, supports multi-user libraries, albums and shared albums, public and partner sharing, offline mobile use, downloads, raw formats, Live Photos and Motion Photos, and user-defined storage structures. Its search can use metadata, objects, faces, and CLIP; it also provides facial recognition and clustering, EXIF and map views, global maps, memories, archival, favorites, folder views, and duplicate prevention. The project warns users to follow a 3-2-1 backup plan and provides installation documentation through its website.

Pictaria Server is a self-hosted photo-intelligence and curation server for Immich libraries, developed by Pictaria. It provides a private web dashboard for collection insights, optional AI enrichment, human photo review, and Smart Albums that synchronize saved Immich searches on a schedule. Its curation workflow groups photos from the same moment into similarity stacks and suggests which photos to keep using frame-worthiness scores; an optional AI referee can compare grouped photos, while human decisions take precedence. Enrichment classifies selected images with operator-hosted Ollama, LM Studio, llama.cpp, or other OpenAI-compatible endpoints, as well as supported cloud providers. Smart Albums can apply saved searches and a Best of mode that ranks results using enrichment data, curation decisions, and photo scores. The server can run as a Docker container or directly on Node.

SCM is a local-first macOS application for searching photos and videos by visual content, visible text, and spoken dialogue. It indexes whole files with local vision models, segments videos into scenes so searches can jump to a timecode, runs Tesseract OCR for literal text matching, and uses Whisper transcripts for exact spoken-word searches. An optional local LLM can answer questions over extracted dialogue, OCR, and filename evidence with citations. The app imports files through manual selection, drag-and-drop, or watched folders. It content-hashes files for rename-proof deduplication, stores embeddings and media metadata locally, and can re-embed a library when the selected vision model changes. Model weights and language packs download once; subsequent inference runs offline, with no accounts, uploads, or telemetry. SCM is distributed as an Electron application for macOS, including a Homebrew cask and packaged DMG/ZIP builds.

Mima is a local-first Mac app that combines Bluesky, X, LinkedIn, and Mastodon into a chronological feed, universal inbox, and composer for cross-network posting, reposting, and replies. It retrieves content directly from users’ social accounts without Mima servers storing users’ content or messages, keeps credentials on the user’s computer, and supports mentions, direct messages, pins, and reminders. Mima works without AI. Its optional AI features include an on-device small language model, with the built-in Llama 3.2 3B model operating locally and offline for tasks such as thread summarization and content moderation. Users can instead provide their own OpenAI, Anthropic, or Google API key, in which case content is shared with that provider. AI-generated content is displayed in a distinct style, and the app is free for Apple Silicon Macs.

Lap is an open-source, local-first desktop photo manager for macOS, Windows, and Linux. It works directly with existing folders and keeps original photos and videos on the user's disk rather than requiring cloud upload or a closed import database. It provides browsing and filtering by metadata, folders, locations, cameras, tags, ratings, and faces; map views; rule-based Smart Albums; collections; duplicate detection and cleanup; culling and comparison tools; editing; format support for photos, RAW files, and videos; and support for grouped assets such as Live Photos and RAW-plus-JPEG/HEIC pairs. Its local AI features use ONNX Runtime with CLIP for image-text similarity search and InsightFace for face detection and recognition. AI search, visual similarity, subject tags, face clustering, and optional multilingual search run on the local machine. The application is built with Tauri and Rust, with a Vue/Vite/Tailwind frontend and SQLite storage; local catalog data includes collections, tags, ratings, culling states, Smart Album rules, AI indexes, face data, and thumbnails, while the original media remains in ordinary filesystem folders. Lap is distributed as desktop packages for macOS, Windows, and Linux, including a Homebrew cask, Debian packages, and AppImages. It is licensed under GPL-3.0-or-later.