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![PhotoPrism](docs/img/logo.png)
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[![Powered By](https://img.shields.io/badge/powered%20by-Go,%20Google%20TensorFlow%20%26%20Vuetify-blue.svg)][powered by]
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[![Powered By](https://img.shields.io/badge/powered%20by-Go,%20TensorFlow%20%26%20Vuetify-blue.svg)][powered by]
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[![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)][license]
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[![Code Quality](https://goreportcard.com/badge/github.com/photoprism/photoprism)][code quality]
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[![GitHub issues](https://img.shields.io/github/issues/photoprism/photoprism.svg)][issues]
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Our goal is to provide the following features (tested as a proof-of-concept):
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- High-performance command line tool
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- Web frontend
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- [Web frontend](docs/img/search.png)
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- No proprietary or binary data formats
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- Duplicate detection
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- Automated tagging using Google TensorFlow
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- Reverse geocoding based on latitude and longitude
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- Automated tagging using [Google TensorFlow](https://www.tensorflow.org/install/install_go)
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- [Reverse geocoding](https://wiki.openstreetmap.org/wiki/Nominatim#Reverse_Geocoding) based on latitude and longitude
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- Image search with powerful filters
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- Easy backup and export
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Web Frontend
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------------
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Open a terminal an type `photoprism start` to start the built-in server. It will listen on localhost port 80 by default.
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Open a terminal an type `photoprism start` to start the built-in server. It will listen on port 80 by default.
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The UI is based on [Vuetify](https://vuetifyjs.com/en/), a [Material Design](https://material.io/) component framework for Vue.js 2.
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![](docs/img/search.png "Advanced Search")
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