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High performance self-hosted photo and video management solution.
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License: MIT Star on Github Android Build iOS Build Build Status



Immich

High performance self-hosted photo and video backup solution.

Loading ~4000 images/videos

Screenshots

Mobile

Web

Note

!! 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

System Requirement

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).

Installing

One-step installation - for evaluating only

Applicable system: Ubuntu, Debian, MacOS

This installation method is for evaluating Immich before futher customization to meet the users' needs.

In the shell, from the directory of your choice, run the following command:

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://<machine-ip-address>:2283, and the server URL for the mobile app will be http://<machine-ip-address>:2283/api.

The directory which is used to store the backup file is ./immich-app/immich-data.

Customize installation - for production usage

Step 1 - Download necessary files

Create a directory called immich-app and cd into it. Then

Get docker-compose.yml

wget https://raw.githubusercontent.com/immich-app/immich/main/docker/docker-compose.yml

Get .env

wget -O .env https://raw.githubusercontent.com/immich-app/immich/main/docker/.env.example

Step 2 - Populate .env file with customed information

  • Populate customised database information if necessary.
  • Populate UPLOAD_LOCATION as prefered location for storing backup assets.
  • Populate a secret value for JWT_SECRET
  • [Optional] Populate Mapbox value.

Example

###################################################################################
# Database
###################################################################################
DB_USERNAME=postgres
DB_PASSWORD=postgres
DB_DATABASE_NAME=immich

###################################################################################
# Upload File Config
###################################################################################
UPLOAD_LOCATION=<put-the-path-of-the-upload-folder-here>

###################################################################################
# JWT SECRET
###################################################################################
JWT_SECRET=randomstringthatissolongandpowerfulthatnoonecanguess

###################################################################################
# MAPBOX
####################################################################################
# ENABLE_MAPBOX is either true of false -> if true, you have to provide MAPBOX_KEY
ENABLE_MAPBOX=false
MAPBOX_KEY=

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://<machine-ip-address>:2283 and follow the prompts to register admin user.

Additional accounts on the server can be created by the admin account.

Step 5 - Access the mobile app

Login the mobile app with the server endpoint URL at http://<machine-ip-address>:2283/api

Mobile app

F-Droid

You can get the app on F-droid by clicking the image below.

Get it on F-Droid

Android

Get the app on Google Play Store here

The App version might be lagging behind the latest release due to the review process.

iOS

Get the app on Apple AppStore here:

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:

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. When you add a new or modify an existing endpoint, you must run the generate command below to update the client SDK.

npm run api:generate # Run from server directory

You can find the generated client SDK in the web/src/api for Typescript SDK and 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 or monthly donation from Github Sponsor

You can also donate using crypto currency with the following addresses:

1FvEp6P6NM8EZEkpGUFAN2LqJ1gxusNxZX

addr1qyy567vqhqrr3p7vpszr5p264gw89sqcwts2z8wqy4yek87cdmy79zazyjp7tmwhkluhk3krvslkzfvg0h43tytp3f5q49nycc

This is also a meaningful way to give me motivation and encouragement to continue working on the app.

Cheers! 🎉

Known Issue

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:

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