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Personal Photo Management powered by Go and Google TensorFlow
Branch: develop
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skunert and lastzero Integrate PhotoSwipe as photo viewer (#96)
* Implement photoswipe

* - Make images fit correctly in lightbox mode
- Use photoswipe also for detail view

* Add responsive image resizing

* Clean up code

* Remove old viewer code

* Move lightbox to bottom

* Move images with sizes to computed properties

* Remove unnecessary formatting
Latest commit 9a00403 Feb 11, 2019
Type Name Latest commit message Commit time
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assets Move favicons to server public directory, see #50 Dec 21, 2018
cmd/photoprism Move version command to the bottom, see #50 Dec 21, 2018
configs Add SqlServerPassword() and HttpServerPassword() to Config, see #16 Dec 26, 2018
docker Revert TensorFlow back to CPU because of missing dependencies #80 Dec 19, 2018
frontend Integrate PhotoSwipe as photo viewer (#96) Feb 11, 2019
internal error chacks and minor api refactoring (#92) Jan 15, 2019
scripts Fix slow tests and improve test output (colorized) #58 Nov 17, 2018
.dockerignore Add photos to demo Dockerfile #80 Dec 18, 2018
.travis.yml Docs: Replace Patreon with Liberapay Jan 9, 2019
Dockerfile Fix for TensorFlow cpu_feature_guard warning #80 Dec 19, 2018
Makefile Docs: Replace Patreon with Liberapay Jan 9, 2019
go.mod Fix/defer leaks (#91) Jan 12, 2019
go.sum Fix/defer leaks (#91) Jan 12, 2019

PhotoPrism: Browse your life in pictures

License: GPL Liberapay Code Quality Build Status Documentation Community Chat

PhotoPrism is a server-based application for browsing, organizing and sharing your personal photo collection. It makes use of the latest technologies to automatically tag and find pictures without getting in your way. Say goodbye to solutions that force you to upload your visual memories to the cloud or pay monthly fees.

More screenshots:

What to expect

  • Clearly structured Web interface for browsing, organizing and sharing your personal photo collection.
  • Import everything without worrying about duplicates or RAW to JPEG conversion.
  • Reverse geocoding and automated tagging based on Google TensorFlow.
  • No monthly costs. No proprietary formats. No privacy concerns.

For the early birds

You're welcome to play with our demo at Leave your email to get a release notification.

Step-by-step installation instructions can be found in our User Guide. Developers can skip this and move on to the Developer Guide.

All you need is a Web browser and Docker to run the server. It is available for Mac, Linux and Windows. Note that we just started working on the UI and features are neither complete nor stable. We plan to ship the final app as a single binary including all dependencies.

If you have a question, don't hesitate to ask in our help forum or contact us via email.

Why this has to be free software

The development of every commercial product is focused on monetization. We've built similar apps more than once and every single time the constraints of working in a profit-oriented corporate environment were an impediment.

We are sure we can do better with only a fraction of the budget. Simplicity - the art of maximizing the amount of work not done - can be very powerful. Go itself is a great example.

Our long-term goal is to become an open platform for machine learning research based on real-world photo collections.

How to contribute

We welcome contributions of any kind. If you have a bug or an idea, read our guide before opening an issue. Issues labeled help wanted / easy can be good (first) contributions.

You'll get a small reward for working on funded issues, see for details. Note that issue descriptions may be outdated on their site. Rewards are paid out when all acceptance criteria prioritized as MUST are met and your pull request was successfully merged.

Please join our developers mailing list to receive regular project updates and discuss development related topics. Don't be afraid to ask stupid questions.


We don't want to ask individuals for a donation at the moment. Please leave a star if you like this project, it provides enough motivation to keep going. Thank you very much! <3

If you still want to donate, you can do so via Liberapay and PayPal. It really means a lot to us as we haven't received any major financial support so far and are funding this project from our personal savings.


Please reach out to us if you work for an organization that can support our project as we are looking for a way to continue doing this full-time. We'll be happy to mention your contribution plus you'll get a direct line to our team of top-class engineers and scientists.

See for details.

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