On-premise Setup for Read OCR Container is taking long time to generated OCR for all images.

I. Anand Kumar 0 Reputation points
2023-08-01T15:34:57.78+00:00

Hi Team,

For our On-premise OCR engine setup we have used Computer Vision (Read Container) and created OCR container in our local linux machine using the below command:

docker run -d -it -p 5001:5000 --memory 8g --cpus 4 --restart=always mcr.microsoft.com/azure-cognitive-services/vision/read:3.2-model-2022-04-30 Eula=accept Billing=https://gpc-readapi.cognitiveservices.azure.com/ ApiKey= <apikey> HTTP_PROXY= <proxy details> HTTP_PROXY_CREDS= <proxy details>

We are able to generate OCR output for all images. But output performance is taking more time (around 20 - 25 sec per documents) which is creating serious SLA issues from our customers while processing large set of documents (>2k). Can you please review and suggest us to improve the OCR generation performance execution.

Thanks,

Anand Kumar I

Azure Computer Vision
Azure Computer Vision
An Azure artificial intelligence service that analyzes content in images and video.
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