form-recognizer

问题 I'm using a custom model with labels (created with the sample labeling tool) and getting the results with the "Python Form Recognizer Async Analyze" V2 SDK Code from the bottom of this 1 page. It basicly works but it took over 20 seconds for a single page PDF file to get the results (6 labels used, S0 pricing model). 150 single page pdf files took over one hour. We also tested with the V1 SDK Preview Version (without labels) of the form recognizer which was significantly faster then V2. I

问题 We are trying to use the container preview of form recogniser,OCR and labeltool and have following questions: Is there any software which can help us to classify similar kind of documents. This will help us to categorize document and create training dataset Is there any way to give the model user-defined name. Following is output from model query API.It is difficult to tie it back to different kind of models: { "modelId": "f136f65b-bb94-493b-a798-a3e8023ea1b5", "status": "ready",

问题 Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed last month . We tried Form Recognizer custom training, with these steps (API 2.0) https://pnagarjuna.wordpress.com/2020/01/07/azure-form-recognizer-service-custom-model-training-steps/ The Training modell is success (201), but after Check Custom Model Status we got this error { "modelInfo": {