2019-07-22 22:53:30 +00:00
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<img align="right" src="./artwork/logo-only.svg" height="150px" style="padding-left: 20px"/>
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2020-03-26 17:26:00 +00:00
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[](https://travis-ci.org/eikek/docspell)
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[](https://scala-steward.org)
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2019-07-22 22:53:30 +00:00
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2020-03-27 18:47:55 +00:00
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# Docspell
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2019-07-22 22:53:30 +00:00
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Docspell is a personal document organizer. You'll need a scanner to
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convert your papers into PDF files. Docspell can then assist in
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organizing the resulting mess :wink:.
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2020-01-11 21:12:51 +00:00
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You can associate tags, set correspondends, what a document is
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concerned with, a name, a date and some more. If your documents are
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associated with this meta data, you should be able to quickly find
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them later using the search feature. But adding this manually to each
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document is a tedious task. What if most of it could be done
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automatically?
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2020-03-27 18:47:55 +00:00
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It is provided as a REST server and a web application.
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2020-01-11 21:12:51 +00:00
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## How it works
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Documents have two main properties: a correspondent (sender or
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receiver that is not you) and something the document is about. Usually
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it is about a person or some thing – maybe your car, or contracts
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concerning some familiy member, etc.
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1. You maintain a kind of address book. It should list all possible
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correspondents and the concerning people/things. This grows
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incrementally with each *new unknown* document.
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2. When docspell analyzes a document, it tries to find matches within
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your address book. It can detect the correspondent and a concerning
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person or thing. It will then associate this data to your
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documents.
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3. You can inspect what docspell has done and correct it. If docspell
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has found multiple suggestions, they will be shown for you to
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select one. If it is not correctly associated, very often the
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correct one is just one click away.
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The set of meta data, that docspell uses to draw suggestions from,
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must be maintained manually. But usually, this data doesn't grow as
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fast as the documents. After a while there is a quite complete address
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book and only once in a while it has to be revisited.
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2020-03-27 18:47:55 +00:00
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2020-03-31 20:54:09 +00:00
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## Install
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- Install the [provided](https://github.com/eikek/docspell/releases)
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`deb` file at your debian based system.
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- Download [provided](https://github.com/eikek/docspell/releases) zip
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file and run the script in `bin/`, as [described
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here](https://docspell.org/getit#using-zip-files).
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- Using the [nix](https://nixos.org/nix) package manager as [described
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here](https://docspell.org/doc/nix). A a NixOS module is
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available, too.
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- Using Docker, as [described
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here](https://docspell.org/getit#docker).
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2020-01-12 12:56:50 +00:00
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## Documentation
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2020-03-28 15:35:28 +00:00
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The [documentation site](https://docspell.org) provides more
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information.
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2020-02-08 17:05:21 +00:00
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Check the feature list and the quickstart guide to try it out:
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2020-03-28 15:35:28 +00:00
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- [Features](https://docspell.org/features)
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- [Quickstart](https://docspell.org/getit)
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2020-03-01 13:19:24 +00:00
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2020-03-27 18:47:55 +00:00
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2020-03-01 13:19:24 +00:00
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## Screenshots
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2020-03-27 18:47:55 +00:00
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Here are some (outdated) screenshots, for getting a first impression
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of the web ui.
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2020-03-01 13:19:24 +00:00
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
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
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
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