How to speed up the Form Recognizer API call to recognize custom models.

Tirth Patel 21

I am working on a project where i need to analyze more than 20 pdf's. How can I speed up the form recognizer API calls to get the response faster.

GiftA-MSFT 11,171 Reputation points

2020-12-03T00:15:19.917+00:00

Thanks for reaching out. According to the input requirements, the total size of the training data set must be 500 pages, please refer to these tips to further optimize your data set for training. Hope this helps.
Tirth Patel 21 Reputation points

2020-12-03T02:35:42.78+00:00

I have already trained. I am recognizing content using GET and POST request for more than 20 forms at a time. It is taking more than 15 minutes to complete operation. How can I speed up that. I tried using Async Call using Client Library but it says API version is different.

2 answers

NetaH-MSFT 6 Reputation points

2020-12-07T17:42:29.747+00:00

You can send all the documents in parallel, by default the resource support 15 transaction per second (TPS), you can increase this with a quota increase request.
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Faraz Ahmed SH Shaikh 1 Reputation point

2021-03-23T09:13:00.593+00:00

Hi, can you please give the links where it is mentioned that the TPS is 15 and also the process for requesting quota increase?
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NetaH-MSFT 6 Reputation points

2021-03-23T14:54:26.153+00:00

To increase TPS request please create an Azure support ticket with quota limit topic and request to increase the TPSs to the TPS you need.
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