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Verwandte Berufe SOC
Basierend auf der SOC-Berufsklassifikation
name azure-ai-formrecognizer-java description Build document analysis applications using the Azure AI Document Intelligence SDK for Java. type skill created 2026-02-27T00:00:00.000Z domain cloud-infrastructure category azure risk unknown source community tags ["skill","cloud-infrastructure","azure","formrecognizer"]
Azure Document Intelligence (Form Recognizer) SDK for Java
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
Installation
<dependency >
<groupId > com.azure</groupId >
<artifactId > azure-ai-formrecognizer</artifactId >
<version > 4.2.0-beta.1</version >
</dependency >
Client Creation
DocumentAnalysisClient
import com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClient;
import com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder ()
.credential(new AzureKeyCredential ("{key}" ))
.endpoint("{endpoint}" )
.buildClient();
DocumentModelAdministrationClient
import com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClient;
import com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClientBuilder;
DocumentModelAdministrationClient adminClient = new DocumentModelAdministrationClientBuilder ()
.credential(new AzureKeyCredential ("{key}" ))
.endpoint("{endpoint}" )
.buildClient();
With DefaultAzureCredential import com.azure.identity.DefaultAzureCredentialBuilder;
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder ()
.endpoint("{endpoint}" )
.credential(new DefaultAzureCredentialBuilder ().build())
.buildClient();
Prebuilt Models Model ID Purpose prebuilt-layoutExtract text, tables, selection marks prebuilt-documentGeneral document with key-value pairs prebuilt-receiptReceipt data extraction prebuilt-invoiceInvoice field extraction prebuilt-businessCardBusiness card parsing prebuilt-idDocumentID document (passport, license) prebuilt-tax.us.w2US W2 tax forms
Core Patterns
Extract Layout import com.azure.ai.formrecognizer.documentanalysis.models.*;
import com.azure.core.util.BinaryData;
import com.azure.core.util.polling.SyncPoller;
import java.io.File;
File document = new File ("document.pdf" );
BinaryData documentData = BinaryData.fromFile(document.toPath());
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocument("prebuilt-layout" , documentData);
AnalyzeResult result = poller.getFinalResult();
for (DocumentPage page : result.getPages()) {
System.out.printf("Page %d: %.2f x %.2f %s%n" ,
page.getPageNumber(),
page.getWidth(),
page.getHeight(),
page.getUnit());
for (DocumentLine line : page.getLines()) {
System.out.println("Line: " + line.getContent());
}
for (DocumentSelectionMark mark : page.getSelectionMarks()) {
System.out.printf("Checkbox: %s (confidence: %.2f)%n" ,
mark.getSelectionMarkState(),
mark.getConfidence());
}
}
for (DocumentTable table : result.getTables()) {
System.out.printf("Table: %d rows x %d columns%n" ,
table.getRowCount(),
table.getColumnCount());
for (DocumentTableCell cell : table.getCells()) {
System.out.printf("Cell[%d,%d]: %s%n" ,
cell.getRowIndex(),
cell.getColumnIndex(),
cell.getContent());
}
}
Analyze from URL String documentUrl = "https://example.com/invoice.pdf" ;
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("prebuilt-invoice" , documentUrl);
AnalyzeResult result = poller.getFinalResult();
Analyze Receipt SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("prebuilt-receipt" , receiptUrl);
AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
Map<String, DocumentField> fields = doc.getFields();
DocumentField merchantName = fields.get("MerchantName" );
if (merchantName != null && merchantName.getType() == DocumentFieldType.STRING) {
System.out.printf("Merchant: %s (confidence: %.2f)%n" ,
merchantName.getValueAsString(),
merchantName.getConfidence());
}
DocumentField transactionDate = fields.get("TransactionDate" );
if (transactionDate != null && transactionDate.getType() == DocumentFieldType.DATE) {
System.out.printf("Date: %s%n" , transactionDate.getValueAsDate());
}
DocumentField items = fields.get("Items" );
if (items != null && items.getType() == DocumentFieldType.LIST) {
for (DocumentField item : items.getValueAsList()) {
Map<String, DocumentField> itemFields = item.getValueAsMap();
System.out.printf("Item: %s, Price: %.2f%n" ,
itemFields.get("Name" ).getValueAsString(),
itemFields.get("Price" ).getValueAsDouble());
}
}
}
General Document Analysis SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("prebuilt-document" , documentUrl);
AnalyzeResult result = poller.getFinalResult();
for (DocumentKeyValuePair kvp : result.getKeyValuePairs()) {
System.out.printf("Key: %s => Value: %s%n" ,
kvp.getKey().getContent(),
kvp.getValue() != null ? kvp.getValue().getContent() : "null" );
}
Custom Models
Build Custom Model import com.azure.ai.formrecognizer.documentanalysis.administration.models.*;
String blobContainerUrl = "{SAS_URL_of_training_data}" ;
String prefix = "training-docs/" ;
SyncPoller<OperationResult, DocumentModelDetails> poller = adminClient.beginBuildDocumentModel(
blobContainerUrl,
DocumentModelBuildMode.TEMPLATE,
prefix,
new BuildDocumentModelOptions ()
.setModelId("my-custom-model" )
.setDescription("Custom invoice model" ),
Context.NONE);
DocumentModelDetails model = poller.getFinalResult();
System.out.println("Model ID: " + model.getModelId());
System.out.println("Created: " + model.getCreatedOn());
model.getDocumentTypes().forEach((docType, details) -> {
System.out.println("Document type: " + docType);
details.getFieldSchema().forEach((field, schema) -> {
System.out.printf(" Field: %s (%s)%n" , field, schema.getType());
});
});
Analyze with Custom Model SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("my-custom-model" , documentUrl);
AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
System.out.printf("Document type: %s (confidence: %.2f)%n" ,
doc.getDocType(),
doc.getConfidence());
doc.getFields().forEach((name, field) -> {
System.out.printf("Field '%s': %s (confidence: %.2f)%n" ,
name,
field.getContent(),
field.getConfidence());
});
}
Compose Models List<String> modelIds = Arrays.asList("model-1" , "model-2" , "model-3" );
SyncPoller<OperationResult, DocumentModelDetails> poller =
adminClient.beginComposeDocumentModel(
modelIds,
new ComposeDocumentModelOptions ()
.setModelId("composed-model" )
.setDescription("Composed from multiple models" ));
DocumentModelDetails composedModel = poller.getFinalResult();
Manage Models
PagedIterable<DocumentModelSummary> models = adminClient.listDocumentModels();
for (DocumentModelSummary summary : models) {
System.out.printf("Model: %s, Created: %s%n" ,
summary.getModelId(),
summary.getCreatedOn());
}
DocumentModelDetails model = adminClient.getDocumentModel("model-id" );
adminClient.deleteDocumentModel("model-id" );
ResourceDetails resources = adminClient.getResourceDetails();
System.out.printf("Models: %d / %d%n" ,
resources.getCustomDocumentModelCount(),
resources.getCustomDocumentModelLimit());
Document Classification
Build Classifier Map<String, ClassifierDocumentTypeDetails> docTypes = new HashMap <>();
docTypes.put("invoice" , new ClassifierDocumentTypeDetails ()
.setAzureBlobSource(new AzureBlobContentSource (containerUrl).setPrefix("invoices/" )));
docTypes.put("receipt" , new ClassifierDocumentTypeDetails ()
.setAzureBlobSource(new AzureBlobContentSource (containerUrl).setPrefix("receipts/" )));
SyncPoller<OperationResult, DocumentClassifierDetails> poller =
adminClient.beginBuildDocumentClassifier(docTypes,
new BuildDocumentClassifierOptions ().setClassifierId("my-classifier" ));
DocumentClassifierDetails classifier = poller.getFinalResult();
Classify Document SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginClassifyDocumentFromUrl("my-classifier" , documentUrl, Context.NONE);
AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
System.out.printf("Classified as: %s (confidence: %.2f)%n" ,
doc.getDocType(),
doc.getConfidence());
}
Error Handling import com.azure.core.exception.HttpResponseException;
try {
client.beginAnalyzeDocumentFromUrl("prebuilt-receipt" , "invalid-url" );
} catch (HttpResponseException e) {
System.out.println("Status: " + e.getResponse().getStatusCode());
System.out.println("Error: " + e.getMessage());
}
Environment Variables FORM_RECOGNIZER_ENDPOINT=https://<resource>.cognitiveservices.azure.com/
FORM_RECOGNIZER_KEY=<your-api-key>
Trigger Phrases
"document intelligence Java"
"form recognizer SDK"
"extract text from PDF"
"OCR document Java"
"analyze invoice receipt"
"custom document model"
"document classification"
When to Use This skill is applicable to execute the workflow or actions described in the overview.
Connections
Domain: [[Cloud & Infrastruktur]]Kategorie: [[Microsoft Azure]]Navigation: [[Skills Uebersicht]], [[Home]] 