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updated documentation
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@ -128,6 +128,8 @@ consumer. Once complete, you should see the newly-created document,
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automatically tagged with the appropriate data.
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automatically tagged with the appropriate data.
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.. _advanced-automatic_matching:
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Automatic matching
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Automatic matching
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==================
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==================
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@ -96,6 +96,8 @@ paperless-ng 0.9.0
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sqlite.
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sqlite.
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* ``PAPERLESS_OCR_THREADS`` is gone and replaced with ``PAPERLESS_TASK_WORKERS`` and
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* ``PAPERLESS_OCR_THREADS`` is gone and replaced with ``PAPERLESS_TASK_WORKERS`` and
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``PAPERLESS_THREADS_PER_WORKER``. Refer to the config example for details.
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``PAPERLESS_THREADS_PER_WORKER``. Refer to the config example for details.
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* ``PAPERLESS_OPTIMIZE_THUMBNAILS`` allows you to disable or enable thumbnail
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optimization. This is useful on less powerful devices.
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* Many more small changes here and there. The usual stuff.
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* Many more small changes here and there. The usual stuff.
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22
docs/faq.rst
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docs/faq.rst
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**Q:** *Will paperless-ng run on Raspberry Pi?*
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**Q:** *Will paperless-ng run on Raspberry Pi?*
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**A:** The short answer is yes. The long answer is that certain parts of
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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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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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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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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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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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**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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**A:** There is not docker image for ARM available. If you know how to build
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