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README.md

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@@ -293,11 +293,11 @@ Within the Storage Account, create a Blob Container to store your PDFs.
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- Navigate to your Form Recognizer resource in the Azure Portal.
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- Check your `Resource Group` if needed:
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/d3559dc5-dbcb-44e6-b56d-d097d1719576">
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/d3559dc5-dbcb-44e6-b56d-d097d1719576">
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- Under `Overview`, click on `Go to Document Intelligence Studio`:
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/286545a3-574d-48d4-80de-66a58e5b5405">
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/286545a3-574d-48d4-80de-66a58e5b5405">
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- **Select Prebuilt Models**: Choose the prebuilt model that matches your document type (e.g., "Invoices" for your PDF example).
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- **Analyze Document**:
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- Upload your PDF document to the Form Recognizer Studio.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/575cb5d1-8e3b-4855-8f15-246ee1ea13b8">
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/575cb5d1-8e3b-4855-8f15-246ee1ea13b8">
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- Click on `Run analysis`, the prebuilt model will automatically extract fields such as invoice ID, date, vendor information, line items, and totals.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/483ff4a5-73d3-4dcd-b35d-766f34a648b2">
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/483ff4a5-73d3-4dcd-b35d-766f34a648b2">
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- Validate your results:
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/a945bd72-ea1c-4d33-9699-f9257a2ceffa">
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/a945bd72-ea1c-4d33-9699-f9257a2ceffa">
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#### Training Custom Models (optional/if needed)
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- **Prepare Training Data**:
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- Collect a set of sample documents similar to your PDF example.
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- Label the fields you want to extract using the [Form Recognizer Labeling Tool](https://fott-2-1.azurewebsites.net/). Click [here for more information about to use it](https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/try-sample-label-tool?view=doc-intel-2.1.0#prerequisites-for-training-a-custom-form-model).
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/94fca855-ec1b-444c-91f0-e05de13600df">
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/94fca855-ec1b-444c-91f0-e05de13600df">
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- **Upload Training Data**: Upload the labeled documents to an Azure Blob Storage container.
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- Grant the necessary role (`Storage Blob Data Reader`) to the Document Intelligence Account for the Storage Account to access the information. Otherwise, you may encounter an error like this:

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