* Add installation script * Populate instsall.sh * format * Get IP address on both macos and linux * Update mobile version * Remove test folder * Added sed command for ios * Added sed command for ios * Fixed ios command * Fixed ios command * Added friendly debug message * Update README * Update Readme with new installation instruction * Update message on instsallation script
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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, preffered 4GB.
Core: At least 2 cores, preffered 4 cores.
Technology Stack
There are several services that compose Immich:
- NestJs - Backend of the application
- SvelteKit - Web frontend of the application
- PostgreSQL - Main database of the application
- Redis - For sharing websocket instance between docker instances and background tasks message queue.
- Nginx - Load balancing and optimized file uploading.
- 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 wget 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] Popluate 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.
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