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Immich

A self-hosted photo and video management service with mobile backup, search, albums, and sharing.

LicenseAGPL-3.0
GitHub stars112.5k
Last commit1 weeks ago
Tags7 topics
VideoProductivitySelf HostedOpen SourcePhotosDeveloper ToolsDocker
Overview

Why consider Immich?

Immich is a self-hosted photo and video management solution featuring high-performance media storage, automatic mobile backup, and contextual machine learning search on private servers.

Guided learning

Learn Immich by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

4 min read 4 sections
In this guide4 sections

Getting Started with Immich for Self-Hosted Photo and Video Management

Immich is a self-hosted photo and video management solution designed for high performance that gives users complete control over their personal media libraries without relying on proprietary cloud subscriptions. According to the official Immich website, the platform enables individuals and families to back up, organize, and search their visual media on private servers while maintaining data privacy.

The underlying codebase is developed openly under a copyleft distribution model. As documented in the official project license, Immich is distributed as open source software licensed under the GNU AGPL v3 License, ensuring that modifications and enhancements remain accessible to the community. The core repository is maintained at the Immich GitHub repository, where the Immich core repository is actively maintained on GitHub as an open source project.

System Prerequisites and Docker Compose Deployment

Running Immich requires adequate system resources for concurrent media transcoding, indexing, and neural network inference. As specified in the Immich Quick Start guide, a host system with at least 6GB of RAM and 2 CPU cores is required to run the core server, database engine, and machine learning components reliably.

To prepare the environment, establish a dedicated directory for the configuration and compose files. According to the Immich Docker Compose installation documentation, Docker Compose is the officially recommended method to deploy Immich in production environments:

bash
1mkdir ./immich-app
2cd ./immich-app

Next, administrators can download docker-compose.yml and example.env directly from the repository release assets following the instructions in the Docker Compose installation documentation:

bash
1wget -O docker-compose.yml https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
bash
1wget -O .env https://github.com/immich-app/immich/releases/latest/download/example.env

After downloading the templates, edit the .env file to configure persistent storage locations and database credentials. As defined in the Docker Compose installation documentation, the UPLOAD_LOCATION environment variable defines the directory where backup assets and photos are stored on the host storage volume. Once environment adjustments are complete, launch the service stack in detached mode:

bash
1docker compose up -d

Initial Administration and Mobile Synchronization

Once the containers initialize, navigate to port 2283 on your server host to access the web application. As explained in the Immich Quick Start guide, the initial user registration creates the primary administrator account for managing the instance, inviting secondary accounts, and configuring machine learning pipelines.

Mobile users can connect their mobile devices directly to the server instance to safeguard their photos on the go. According to the Immich Quick Start guide, mobile client applications connect to the Immich server endpoint to transfer photos and videos from handheld devices directly to the private server library.

Semantic Vector Search and Machine Learning

Immich integrates automated enrichment features powered by specialized machine learning models. According to the Immich Smart Search documentation, Immich uses PostgreSQL as its search database for both metadata and contextual CLIP search, allowing fast filtering by camera parameters, reverse-geocoded locations, recognized faces, and optical character recognition text.

Beyond standard metadata filtering, contextual CLIP search utilizes machine learning models to enable natural language photo retrieval without requiring manual asset tagging. As documented in the Immich Smart Search documentation, users can search for concepts like sunsets, mountains, or pets, and the embedding engine retrieves relevant matches through vector similarity algorithms.

Platform Enhancements and Backup Architecture

The Immich engineering team maintains an active release cycle that frequently introduces functional enhancements and workflow optimizations. As detailed in the Immich v3.1.0 release notes, the v3.1.0 release introduces web upload wakelock support and server filepath filtering, improving asset handling across browser sessions and automated workflows.

Maintaining long-term data durability requires understanding the distinction between application state and raw media files. As highlighted in the Immich Quick Start guide, the database stores metadata and user accounts while image assets require independent volume backups, ensuring administrators safeguard both PostgreSQL database dumps and the underlying raw asset directory.

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Immich FAQs

Immich is listed as a Media tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Immich is listed under the AGPL-3.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Immich is listed as an alternative to Google Photos. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.