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Michael Mayer
Michael Mayer

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PhotoPrism: Personal Photo Management powered by Go, TensorFlow & Vuetify

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.

We've recently improved our search and implemented maps based on Leaflet / OpenStreetMap. Try for yourself:
https://demo.photoprism.org/places?q=San%20Diego

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 issuehunt.io 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 Note that issue descriptions may be outdated on their site.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.

Our project on GitHub: https://github.com/photoprism/photoprism

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