I just bought a package for 5K scans to test the performance of the API.

I am trying to process 500 images in parallel. The 500 have been queued but it seems that the API is only processing between 3 and 6 (status of "In Progress") at a given time instead of the 500 in parallel - The others just have the status of "Queued".

This means that processing my 500 images is taking a very long time where I was expecting the API to process them all in parallel.

Is there a way to process all of them in parallel to provide decent performance? Is there a limitation of the API and I should consider another solution?


asked 24 Nov '13, 03:11

fasterap's gravatar image


The service increments its performance dynamically. We have some basic recourses, it allows to process single images immediately, and if the user sends a lot of images, they are queued. When the queue is big enough, the performance is automatically incremented by a fixed value. Recognition becomes faster in about a minute. The performance could be increased every 10-15 minutes.

We can discuss the details and help you with testing, if you send to CloudOCRSDK@abbyy.com the description of your project.


answered 29 Nov '13, 16:48

Anastasia%20Galimova's gravatar image

Anastasia Ga... ♦♦

Hi Anastasia, the performance definitely did not increase to acceptable levels. I upload 500 images together and only between 3 and 6 were every "in process" at the same time, all of the others being queue. I'll send a separate email to CloudOCRSDK@abbyy.com to get more info on how we could improve performance. Thanks!

(02 Dec '13, 00:30) fasterap
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Asked: 24 Nov '13, 03:11

Seen: 937 times

Last updated: 02 Dec '13, 00:30

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