You can control the number of OCR processes using the "--concurrency=1" 
setting of Celery on the worker managing the OCR queue. This causes Celery 
to executye 

For example (from the Docker image):  

python /usr/local/lib/python2.7/dist-packages/mayan/bin/mayan-edms.py 
celery --settings=mayan.settings.production worker -Ofair -l ERROR -Q 
mailing,ocr,tools,statistics -n mayan-worker-slow.%%h --concurrency=1

If you are still running out of memory you can add the --concurrency=1 
setting to the other workers to control the conversion and display 

On Thursday, August 10, 2017 at 1:07:55 PM UTC-4, Mirco Hansen wrote:

> Hi,
> is there a way to limit the number of OCR processes running at the same 
> time? If I upload lots of documents the OCR in the background makes Mayan 
> mostly unusable so I want to limit the number of background jobs.
> Thanks in advance.
> Regards
> Mirco


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