Azure AI services | Document intelligence | Use prebuilt Document Intelligence models

Azure AI services | Document intelligence | Use prebuilt Document Intelligence models

Source: https://github.com/MicrosoftLearning/mslearn-ai-document-intelligence

https://documentintelligence.ai.azure.com/studio

C# Code:

using Azure;

using Azure.AI.FormRecognizer.DocumentAnalysis;

// dotnet add package Azure.AI.FormRecognizer --version 4.1.0

// Store connection information

string endpoint = "https://sreedocumentintelligence.cognitiveservices.azure.com/";

string apiKey = "BxcKE20FOGiN8b";

Uri fileUri = new Uri("https://github.com/MicrosoftLearning/mslearn-ai-document-intelligence/blob

/main/Labfiles/01-prebuild-models/sample-invoice/sample-invoice.pdf?raw=true");

Console.WriteLine("\nConnecting to Forms Recognizer at: {0}", endpoint);

Console.WriteLine("Analyzing invoice at: {0}\n", fileUri.ToString());

// Create the client

var cred = new AzureKeyCredential(apiKey);

var client = new DocumentAnalysisClient(new Uri(endpoint), cred);

// Analyze the invoice

AnalyzeDocumentOperation operation = await client.AnalyzeDocumentFromUriAsync(WaitUntil.Completed,

"prebuilt-invoice", fileUri);

// Display invoice information to the user

AnalyzeResult result = operation.Value;

foreach (AnalyzedDocument invoice in result.Documents)

{

    if (invoice.Fields.TryGetValue("VendorName", out DocumentField? vendorNameField))

    {

        if (vendorNameField.FieldType == DocumentFieldType.String)

        {

            string vendorName = vendorNameField.Value.AsString();

            Console.WriteLine($"Vendor Name: '{vendorName}', with confidence

            {vendorNameField.Confidence}.");

        }

    }

    if (invoice.Fields.TryGetValue("CustomerName", out DocumentField? customerNameField))

    {

        if (customerNameField.FieldType == DocumentFieldType.String)

        {

            string customerName = customerNameField.Value.AsString();

            Console.WriteLine($"Customer Name: '{customerName}', with confidence

            {customerNameField.Confidence}.");

        }

    }

    if (invoice.Fields.TryGetValue("InvoiceTotal", out DocumentField? invoiceTotalField))

    {

        if (invoiceTotalField.FieldType == DocumentFieldType.Currency)

        {

            CurrencyValue invoiceTotal = invoiceTotalField.Value.AsCurrency();

            Console.WriteLine($"Invoice Total: '{invoiceTotal.Symbol}{invoiceTotal.Amount}',

            with confidence {invoiceTotalField.Confidence}.");

        }

    }

}

Console.WriteLine("\nAnalysis complete.\n");

OutPut:

Python Code:

from azure.core.credentials import AzureKeyCredential

from azure.ai.formrecognizer import DocumentAnalysisClient

# pip install azure-ai-formrecognizer==3.3.3

# Store connection information

endpoint = "https://sreedocumentintelligence.cognitiveservices.azure.com/"

key = "BxcKE20FOGiN8b"

fileUri = "https://github.com/MicrosoftLearning/mslearn-ai-document-intelligence/blob/main/Labfiles

/01-prebuild-models/sample-invoice/sample-invoice.pdf?raw=true"

fileLocale = "en-US"

fileModelId = "prebuilt-invoice"

print(f"\nConnecting to Forms Recognizer at: {endpoint}")

print(f"Analyzing invoice at: {fileUri}")

# Create the client

document_analysis_client = DocumentAnalysisClient(

     endpoint=endpoint, credential=AzureKeyCredential(key)

)

# Analyse the invoice

poller = document_analysis_client.begin_analyze_document_from_url(

     fileModelId, fileUri, locale=fileLocale

)

# Display invoice information to the user

receipts = poller.result()

   

for idx, receipt in enumerate(receipts.documents):

    vendor_name = receipt.fields.get("VendorName")

    if vendor_name:

        print(f"\nVendor Name: {vendor_name.value}, with confidence {vendor_name.confidence}.")

    customer_name = receipt.fields.get("CustomerName")

    if customer_name:

        print(f"Customer Name: '{customer_name.value}, with confidence {customer_name.confidence}.")

    invoice_total = receipt.fields.get("InvoiceTotal")

    if invoice_total:

        print(f"Invoice Total: '{invoice_total.value.symbol}{invoice_total.value.amount},

        with confidence {invoice_total.confidence}.")

print("\nAnalysis complete.\n")

OutPut: