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69 lines
2.6 KiB
ReStructuredText
69 lines
2.6 KiB
ReStructuredText
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**************************
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Frequently asked questions
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**************************
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**Q:** *I'm using docker. Where are my documents?*
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**A:** Your documents are stored inside the docker volume ``paperless_media``.
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Docker manages this volume automatically for you. It is a persistent storage
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and will persist as long as you don't explicitly delete it. The actual location
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depends on your host operating system. On Linux, chances are high that this location
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is
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.. code::
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/var/lib/docker/volumes/paperless_media/_data
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.. caution::
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Dont mess with this folder. Don't change permissions and don't move
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files around manually. This folder is meant to be entirely managed by docker
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and paperless.
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**Q:** *What file types does paperless-ng support?*
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**A:** Currently, the following files are supported:
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* PDF documents, PNG images and JPEG images are processed with OCR.
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* Plain text documents are supported as well and are added verbatim
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to paperless.
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Paperless determines the type of a file by inspecting its content. The
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file extensions do not matter.
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**Q:** *Will paperless-ng run on Raspberry Pi?*
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**A:** The short answer is yes. I've tested it on a Raspberry Pi 3 B.
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The long answer is that certain parts of
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Paperless will run very slow, such as the tesseract OCR. On Rasperry Pi,
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try to OCR documents before feeding them into paperless so that paperless can
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reuse the text. The web interface should be alot snappier, since it runs
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in your browser and paperless has to do much less work to serve the data.
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.. note::
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Consider setting ``PAPERLESS_OPTIMIZE_THUMBNAILS`` to false to speed up
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the consumption process. This takes quite a bit of time on Raspberry Pi.
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.. note::
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Updating the :ref:`automatic matching algorithm <advanced-automatic_matching>`
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takes quite a bit of time. However, the update mechanism checks if your
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data has changed before doing the heavy lifting. If you experience the
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algorithm taking too much cpu time, consider changing the schedule in the
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admin interface to daily or weekly. You can also manually invoke the task
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by changing the date and time of the next run to today/now.
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The actual matching of the algorithm is fast and works on Raspberry Pi as
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well as on any other device.
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**Q:** *How do I install paperless-ng on Raspberry Pi?*
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**A:** There is not docker image for ARM available. If you know how to build
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that automatically, I'm all ears. For now, you have to grab the latest release
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archive from the project page and build the image yourself. The release comes
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with the front end already compiled, so you don't have to do this on the Pi.
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