Raspberry-Pi and Similiar

Docspell Documentation

Raspberry Pi, and similiar🔗

Both component can run next to each other on a raspberry pi or similiar device.

REST Server🔗

The REST server component runs very well on the Raspberry Pi and similiar devices. It doesn't require much resources, because the heavy work is done by the joex components.

Joex🔗

Running the joex component on the Raspberry Pi is possible, but will result in long processing times for OCR and text analysis. The board should provide 4G of RAM (like the current RPi4), especially if also a database and solr are running next to it. I recommend to give joex a heap of 1.5G (-J-Xmx1536M). You should also set the joex pool size to 1.

When joex processes the first file, some models are built loaded into memory which can take a while. Subsequent processing times are faster then.

An example: on this UP board with an Intel Atom x5-Z8350 CPU (@1.44Ghz) and 4G RAM, a scanned (300dpi) pdf file with 6 pages took 3:20 min to process. This board also runs the SOLR and a postgresql database.

The same file was processed in 55s on a qemu virtual machine on my i7 notebook, using 1 CPU and 4G RAM (and identical config for joex). The virtual machine only had to host docspell (joex and restserver, but the restserver is very lightweight).

The learning task for text classification can also use high amount of memory, but this depends on the amount of data you have in docspell. If you encounter problems here, you can set the maximum amount of items to consider in the collective settings page.