Disclaimer

⚠️ The project is under very active development.
⚠️ Expect bugs and breaking changes.
⚠️ Do not use the app as the only way to store your photos and videos!

Content

Documentation

You can find the main documentation, including installation guides, at https://immich.app/.

Demo

You can access the web demo at https://demo.immich.app

For the mobile app, you can use https://demo.immich.app/api for the Server Endpoint URL

The credential
email: demo@immich.app
password: demo

Spec: Free-tier Oracle VM - Amsterdam - 2.4Ghz quad-core ARM64 CPU, 24GB RAM

Features

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	Yes	Yes
OAuth Support	Yes	Yes
LivePhotos Backup and Playback (iOS only)	Yes	Yes

Support the project

I've committed to this project, and I will not stop. I will keep updating the docs, adding new features, and fixing bugs. But I can't do it alone. So I need your help to give me additional motivation to keep going.

As our hosts in the selfhosted.show - In the episode 'The-organization-must-not-be-name is a Hostile Actor' said, this is a massive undertaking of what the team and I are doing. And I would love to someday be able to do this full-time, and I am asking for your help to make that happen.

If you feel like this is the right cause and the app is something you are seeing yourself using for a long time, please consider supporting the project with the option below.

Donation

Monthly donation via GitHub Sponsors
One-time donation via Github Sponsors

Known Issues

TensorFlow Build Issue

This is a known issue for incorrect Proxmox 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 Proxmox, 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

4.6 KiB Raw Blame History

Immich - High performance self-hosted photo and video backup solution