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Copy file name to clipboardExpand all lines: articles/cognitive-services/form-recognizer/quickstarts/curl-train-extract.md
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@@ -27,7 +27,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
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To complete this quickstart, you must have:
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- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
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-[cURL](https://curl.haxx.se/windows/) installed.
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- A set of at least five forms of the same type. You will use this data to train the model. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
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- A set of at least six forms of the same type. You will use five of these to train the model, and then you'll test it with the sixth form. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account. You can put the testing files in a separate folder.
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## Create a Form Recognizer resource
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1. Replace `<Endpoint>` with the endpoint that you obtained from your Form Recognizer subscription key. You can find it on your Form Recognizer resource **Overview** tab.
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1. Replace `<model ID>` with the model ID that you received in the previous section.
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1. Replace `<path to your form>` with the file path of your form (for example, C:\temp\file.pdf). This can also be a URL to a remote file. For this quickstart, you can use the files under the **Test** folder of the [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451).
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1. Replace `<file type>` with the file type. Supported types: `application/pdf`, `image/jpeg`, `image/png`, `image/tiff`.
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1. Replace `<SAS URL>` with an SAS URL to your file in Azure storage. Follow the steps in the Training section, but instead of getting a SAS URL for the whole blob container, get one for the specific file you want to analyze.
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1. Replace `<subscription key>` with your subscription key.
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```bash
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curl -X POST "https://<Endpoint>/formrecognizer/v2.0-preview/custom/models/<model ID>/analyze" -H "Content-Type: multipart/form-data" -F "form=@\"<path to your form>\";type=<file type>" -H "Ocp-Apim-Subscription-Key: <subscription key>"
You'll receive a `202 (Success)` response with an **Operation-Location** header. The value of this header is an ID you use to track the results of the Analyze operation. Save this ID for the next step.
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You'll receive a `202 (Success)` response with an **Operation-Location** header. The value of this header includes a results ID you use to track the results of the Analyze operation. Save this results ID for the next step.
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