Informazioni sui documenti di Azure AI è un servizio cognitivo che estrae dati da immagini e documenti usando l'apprendimento automatico.

Linguaggi di programmazione supportati

	Pacchetto	Versioni API supportate	Piattaforme supportate
	NuGet
			Windows, macOS, Linux
	npm		Browser, Windows, Linux, macOS
GA (Python 3.7 e 3.6)	PyPI		Windows, macOS, Linux

Client supportati

Lingua	Versione dell'SDK	Versione dell'API	Client supportati
C#/Java/JavaScript	4.9.0 (GA)
C#/Java/JavaScript	1.1.x
C#/Java/JavaScript	1.2.x	v2.0
Python	4.9.1 (GA)
Python	1.1.x
Python	3.0.0	v2.0

Installare la libreria client.

dotnet add package Azure.AI.FormRecognizer --version 4.0.0

Install-Package Azure.AI.FormRecognizer -Version 4.0.0

Java

<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-formrecognizer</artifactId>
<version>4.0.6</version>
</dependency>

implementation("com.azure:azure-ai-formrecognizer:4.0.6")

JavaScript

npm i @azure/ai-form-recognizer@4.0.0

Python

pip install azure-ai-formrecognizer==3.2.0

using Azure;
using Azure.AI.FormRecognizer.DocumentAnalysis;

Java

import com.azure.ai.formrecognizer.*;
import com.azure.ai.formrecognizer.models.*;
import com.azure.ai.formrecognizer.DocumentAnalysisClient.*;

import com.azure.core.credential.AzureKeyCredential;

JavaScript

const { AzureKeyCredential, DocumentAnalysisClient } = require("@azure/ai-form-recognizer");

Python

from azure.ai.formrecognizer import DocumentAnalysisClient
from azure.core.credentials import AzureKeyCredential

Configurare l'autenticazione.

Incollare la chiave API.

//set `<your-endpoint>` and `<your-key>` variables with the values from the Azure portal to create your `AzureKeyCredential` and `DocumentAnalysisClient` instance
string key = "<your-key>";
string endpoint = "<your-endpoint>";
AzureKeyCredential credential = new AzureKeyCredential(key);
DocumentAnalysisClient client = new DocumentAnalysisClient(new Uri(endpoint), credential);

Java

// create your `DocumentAnalysisClient` instance and `AzureKeyCredential` variable
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder()
            .credential(new AzureKeyCredential("<your-key>"))
            .endpoint("<your-endpoint>")
            .buildClient();

JavaScript

// create your `DocumentAnalysisClient` instance and `AzureKeyCredential` variable
async function main() {
    const client = new DocumentAnalysisClient("<your-endpoint>", new AzureKeyCredential("<your-key>"));

Python

# create your `DocumentAnalysisClient` instance and `AzureKeyCredential` variable
    document_analysis_client = DocumentAnalysisClient(endpoint="<your-endpoint>", credential=AzureKeyCredential("<your-key>"))

Nota

1. Installare le Librerie di Azure per .NET.

       dotnet add package Azure.Identity
   

       Install-Package Azure.Identity
   

5. string endpoint = "<your-endpoint>";
   var client = new DocumentAnalysisClient(new Uri(endpoint), new DefaultAzureCredential());
   

Per altre informazioni sull'elemento , vedere Cache client.

Java

1. <dependency>
       <groupId>com.azure</groupId>
       <artifactId>azure-identity</artifactId>
       <version>1.5.3</version>
   </dependency>
   

5. TokenCredential credential = new DefaultAzureCredentialBuilder().build();
   DocumentAnalysisClient documentAnalysisClient = new DocumentAnalysisClientBuilder()
       .endpoint("{your-endpoint}")
       .credential(credential)
       .buildClient();
   

Per altre informazioni sull'elemento , vedere Cache client.

JavaScript

1. Libreria client Azure Identity per JavaScript

   npm install @azure/identity
   

5. const { DocumentAnalysisClient } = require("@azure/ai-form-recognizer");
   const { DefaultAzureCredential } = require("@azure/identity");
   
   const client = new DocumentAnalysisClient("<your-endpoint>", new DefaultAzureCredential());
   

Python

1. pip install azure-identity
   

5. from azure.identity import DefaultAzureCredential
   from azure.ai.formrecognizer import DocumentAnalysisClient
   
   credential = DefaultAzureCredential()
   document_analysis_client = DocumentAnalysisClient(
       endpoint="https://<my-custom-subdomain>.cognitiveservices.azure.com/",
       credential=credential
   )
   

Per altre informazioni sull'elemento , vedere Cache client.

Compilare l'applicazione

Passaggi successivi

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