A note of appreciation for paperless ngx

This page summarizes the projects mentioned and recommended in the original post on /r/selfhosted

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • pdfarranger

    Small python-gtk application, which helps the user to merge or split PDF documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface.

  • I see some questions in the comments about document splitting and if you are using PDF for the export in scanning, this adds an extra step but may be valuable in the long run. For Linux users at least, there is "pdfarranger" which most distros have. You can install that, load the PDF and re-arrange pages, remove pages, etc.

  • naps2

    Scan documents to PDF and more, as simply as possible.

  • Tips: For PDF management/splitting/rotation/cropping ect before import: NAPS2 is a good tool (Windows, Linux, Mac). It also support ocr (same as paperless-ngx use) https://www.naps2.com/

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo
  • Stirling-PDF

    #1 Locally hosted web application that allows you to perform various operations on PDF files

  • pythonpdfsplitter

  • Uploaded it to GitHub: https://github.com/thephilluk/pythonpdfsplitter Basically watches a folder for new files and splits them up automatically.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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