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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.
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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.
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.
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(182.40000000000003, 20%, 27%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ENM%3C/text%3E%3C/svg%3E)
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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Hi, can you please give the links where it is mentioned that the TPS is 15 and also the process for requesting quota increase?
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.