Immich

High performance self-hosted photo and video backup solution.

License: MIT Star on Github Android Build iOS Build Build Status

## Content - [Features](#features) - [Screenshots](#screenshots) - [Installation](#installation) - [Update](#update) - [Mobile App](#-mobile-app) - [Development](#development) - [Support](#support) - [Known Issues](#known-issues) # Features > ⚠️ WARNING: **NOT READY FOR PRODUCTION! DO NOT USE TO STORE YOUR ASSETS**. This project is under heavy development, there will be continuous functions, features and api changes. | Features | Mobile | Web | | - | - | - | | Upload and view videos and photos | Yes | Yes | Auto backup when the app is opened | Yes | N/A | Selective album(s) for backup | Yes | N/A | Download photos and videos to local device | Yes | Yes | Multi-user support | Yes | Yes | Album | Yes | Yes | Shared Albums | Yes | Yes | Quick navigation with draggable scrollbar | Yes | Yes | Support RAW (HEIC, HEIF, DNG, Apple ProRaw) | Yes | Yes | Metadata view (EXIF, map) | Yes | Yes | Search by metadata, objects and image tags | Yes | No | Administrative functions (user management) | N/A | Yes | Background backup | Android | N/A | Virtual scroll | N/A | Yes
# Screenshots ### Mobile | | | | | | | - | - | - | - | - | |

Login with custom URL

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Backup Settings

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Backup selection

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Home Screen

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Curated search

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Shared albums

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EXIF info

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Loading ~4000 images/videos

| ### Web | Home Dashboard | Image view | | - | - | | | |
# Project Details ## 💾 System Requirements - **OS**: Preferred unix-based operating system (Ubuntu, Debian, MacOS...etc). - **RAM**: At least 2GB, preferred 4GB. - **Core**: At least 2 cores, preferred 4 cores. ## 🔩 Technology Stack There are several services that compose Immich: 1. **NestJs** - Backend of the application 2. **SvelteKit** - Web frontend of the application 3. **PostgreSQL** - Main database of the application 4. **Redis** - For sharing websocket instance between docker instances and background tasks message queue. 5. **Nginx** - Load balancing and optimized file uploading. 6. **TensorFlow** - Object Detection (COCO SSD) and Image Classification (ImageNet).
# Installation NOTE: When using a reverse proxy in front of Immich (such as NGINX), the reverse proxy might require extra configuration to allow large files to be uploaded (such as client_max_body_size in the case of NGINX). ## Testing One-step installation (not recommended for production) > ⚠️ *This installation method is for evaluating Immich before futher customization to meet the users' needs.* *Applicable system: Ubuntu, Debian, MacOS* - In the shell, from the directory of your choice, run the following command: ```bash curl -o- https://raw.githubusercontent.com/immich-app/immich/main/install.sh | bash ``` This script will download the `docker-compose.yml` file and the `.env` file, then populate the necessary information, and finally run the `docker-compose up` or `docker compose up` (based on your docker's version) command. The web application will be available at `http://:2283`, and the server URL for the mobile app will be `http://:2283/api`. The directory which is used to store the backup file is `./immich-app/immich-data`.
## Custom installation (Recommended) ### Step 1 - Download necessary files - Create a directory called `immich-app` and cd into it. - Get `docker-compose.yml` ```bash wget https://raw.githubusercontent.com/immich-app/immich/main/docker/docker-compose.yml ``` - Get `.env` ```bash wget -O .env https://raw.githubusercontent.com/immich-app/immich/main/docker/.env.example ``` ### Step 2 - Populate .env file with custom information See the example .env file * Populate custom database information if necessary. * Populate `UPLOAD_LOCATION` as prefered location for storing backup assets. * Populate a secret value for `JWT_SECRET`, you can use this command: `openssl rand -base64 128` * [Optional] Populate Mapbox value to use reverse geocoding. ### Step 3 - Start the containers - Run `docker-compose up` or `docker compose up` (based on your docker's version) ### Step 4 - Register admin user - Navigate to the web at `http://:2283` and follow the prompts to register admin user.

- You can add and manage users from the administration page.

### Step 5 - Access the mobile app - Login the mobile app with the server endpoint URL at `http://:2283/api`


## Update If you have installed, you can update the application by navigate to the directory that contains the `docker-compose.yml` file and run the following command: ```bash docker-compose pull && docker-compose up -d ``` # Mobile app | F-Droid | Google Play | iOS | | - | - | - | | Get it on F-Droid |

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| > *The App version might be lagging behind the latest release due to the review process.*
# Development The development environment can be started from the root of the project after populating the `.env` file with the command: ```bash make dev # required Makefile installed on the system. ``` All servers and web container are hot reload for quick feedback loop. ## Note for developers ### 1 - OpenAPI OpenAPI is used to generate the client (Typescript, Dart) SDK. `openapi-generator-cli` can be installed [here](https://openapi-generator.tech/docs/installation/). When you add a new or modify an existing endpoint, you must run the generate command below to update the client SDK. ```bash npm run api:generate # Run from server directory ``` You can find the generated client SDK in the [`web/src/api`](web/src/api) for Typescript SDK and [`mobile/openapi`](mobile/openapi) for Dart SDK.
# Support If you like the app, find it helpful, and want to support me to offset the cost of publishing to AppStores, you can sponsor the project with [**one time**](https://github.com/sponsors/alextran1502?frequency=one-time&sponsor=alextran1502) or monthly donation from [**Github Sponsor**](https://github.com/sponsors/alextran1502). You can also donate using crypto currency with the following addresses:

Bitcoin: 1FvEp6P6NM8EZEkpGUFAN2LqJ1gxusNxZX

Cardano: addr1qyy567vqhqrr3p7vpszr5p264gw89sqcwts2z8wqy4yek87cdmy79zazyjp7tmwhkluhk3krvslkzfvg0h43tytp3f5q49nycc

This is also a meaningful way to give me motivation and encouragement to continue working on the app. Cheers! 🎉
# Known Issues ## TensorFlow Build Issue *This is a known issue for incorrect Promox setup* TensorFlow doesn't run with older CPU architecture, it requires a CPU with AVX and AVX2 instruction set. If you encounter the error `illegal instruction core dump` when running the docker-compose command above, check for your CPU flags with the command and make sure you see `AVX` and `AVX2`: ```bash more /proc/cpuinfo | grep flags ``` If you are running virtualization in Promox, the VM doesn't have the flag enabled. You need to change the CPU type from `kvm64` to `host` under VMs hardware tab. `Hardware > Processors > Edit > Advanced > Type (dropdown menu) > host`