SDK for Java 2.x を使用した Amazon Textract の例 - AWS SDK for Java 2.x

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SDK for Java 2.x を使用した Amazon Textract の例

次のコード例は、Amazon Textract AWS SDK for Java 2.x で を使用してアクションを実行し、一般的なシナリオを実装する方法を示しています。

アクションはより大きなプログラムからのコードの抜粋であり、コンテキスト内で実行する必要があります。アクションは個々のサービス機能を呼び出す方法を示していますが、関連するシナリオやサービス間の例ではアクションのコンテキストが確認できます。

「シナリオ」は、同じサービス内で複数の関数を呼び出して、特定のタスクを実行する方法を示すコード例です。

各例には、 へのリンクが含まれています。ここでは GitHub、コンテキスト内でコードを設定および実行する方法の手順を確認できます。

トピック

アクション

次の例は、AnalyzeDocument を使用する方法を説明しています。

SDK for Java 2.x
注記

については、「」を参照してください GitHub。AWS コード例リポジトリ で全く同じ例を見つけて、設定と実行の方法を確認してください。

import software.amazon.awssdk.core.SdkBytes; import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.textract.TextractClient; import software.amazon.awssdk.services.textract.model.AnalyzeDocumentRequest; import software.amazon.awssdk.services.textract.model.Document; import software.amazon.awssdk.services.textract.model.FeatureType; import software.amazon.awssdk.services.textract.model.AnalyzeDocumentResponse; import software.amazon.awssdk.services.textract.model.Block; import software.amazon.awssdk.services.textract.model.TextractException; import java.io.File; import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.InputStream; import java.util.ArrayList; import java.util.Iterator; import java.util.List; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class AnalyzeDocument { public static void main(String[] args) { final String usage = """ Usage: <sourceDoc>\s Where: sourceDoc - The path where the document is located (must be an image, for example, C:/AWS/book.png).\s """; if (args.length != 1) { System.out.println(usage); System.exit(1); } String sourceDoc = args[0]; Region region = Region.US_EAST_2; TextractClient textractClient = TextractClient.builder() .region(region) .build(); analyzeDoc(textractClient, sourceDoc); textractClient.close(); } public static void analyzeDoc(TextractClient textractClient, String sourceDoc) { try { InputStream sourceStream = new FileInputStream(new File(sourceDoc)); SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream); // Get the input Document object as bytes Document myDoc = Document.builder() .bytes(sourceBytes) .build(); List<FeatureType> featureTypes = new ArrayList<FeatureType>(); featureTypes.add(FeatureType.FORMS); featureTypes.add(FeatureType.TABLES); AnalyzeDocumentRequest analyzeDocumentRequest = AnalyzeDocumentRequest.builder() .featureTypes(featureTypes) .document(myDoc) .build(); AnalyzeDocumentResponse analyzeDocument = textractClient.analyzeDocument(analyzeDocumentRequest); List<Block> docInfo = analyzeDocument.blocks(); Iterator<Block> blockIterator = docInfo.iterator(); while (blockIterator.hasNext()) { Block block = blockIterator.next(); System.out.println("The block type is " + block.blockType().toString()); } } catch (TextractException | FileNotFoundException e) { System.err.println(e.getMessage()); System.exit(1); } } }
  • API 詳細については、「 リファレンスAnalyzeDocument」の「」を参照してください。 AWS SDK for Java 2.x API

次の例は、DetectDocumentText を使用する方法を説明しています。

SDK for Java 2.x
注記

については、「」を参照してください GitHub。AWS コード例リポジトリ で全く同じ例を見つけて、設定と実行の方法を確認してください。

入力ドキュメントからテキストを検出します。

import software.amazon.awssdk.core.SdkBytes; import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.textract.TextractClient; import software.amazon.awssdk.services.textract.model.Document; import software.amazon.awssdk.services.textract.model.DetectDocumentTextRequest; import software.amazon.awssdk.services.textract.model.DetectDocumentTextResponse; import software.amazon.awssdk.services.textract.model.Block; import software.amazon.awssdk.services.textract.model.DocumentMetadata; import software.amazon.awssdk.services.textract.model.TextractException; import java.io.File; import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.InputStream; import java.util.List; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DetectDocumentText { public static void main(String[] args) { final String usage = """ Usage: <sourceDoc>\s Where: sourceDoc - The path where the document is located (must be an image, for example, C:/AWS/book.png).\s """; if (args.length != 1) { System.out.println(usage); System.exit(1); } String sourceDoc = args[0]; Region region = Region.US_EAST_2; TextractClient textractClient = TextractClient.builder() .region(region) .build(); detectDocText(textractClient, sourceDoc); textractClient.close(); } public static void detectDocText(TextractClient textractClient, String sourceDoc) { try { InputStream sourceStream = new FileInputStream(new File(sourceDoc)); SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream); // Get the input Document object as bytes. Document myDoc = Document.builder() .bytes(sourceBytes) .build(); DetectDocumentTextRequest detectDocumentTextRequest = DetectDocumentTextRequest.builder() .document(myDoc) .build(); // Invoke the Detect operation. DetectDocumentTextResponse textResponse = textractClient.detectDocumentText(detectDocumentTextRequest); List<Block> docInfo = textResponse.blocks(); for (Block block : docInfo) { System.out.println("The block type is " + block.blockType().toString()); } DocumentMetadata documentMetadata = textResponse.documentMetadata(); System.out.println("The number of pages in the document is " + documentMetadata.pages()); } catch (TextractException | FileNotFoundException e) { System.err.println(e.getMessage()); System.exit(1); } } }

Amazon S3 バケット内のドキュメントからテキストを検出する

import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.textract.model.S3Object; import software.amazon.awssdk.services.textract.TextractClient; import software.amazon.awssdk.services.textract.model.Document; import software.amazon.awssdk.services.textract.model.DetectDocumentTextRequest; import software.amazon.awssdk.services.textract.model.DetectDocumentTextResponse; import software.amazon.awssdk.services.textract.model.Block; import software.amazon.awssdk.services.textract.model.DocumentMetadata; import software.amazon.awssdk.services.textract.model.TextractException; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class DetectDocumentTextS3 { public static void main(String[] args) { final String usage = """ Usage: <bucketName> <docName>\s Where: bucketName - The name of the Amazon S3 bucket that contains the document.\s docName - The document name (must be an image, i.e., book.png).\s """; if (args.length != 2) { System.out.println(usage); System.exit(1); } String bucketName = args[0]; String docName = args[1]; Region region = Region.US_WEST_2; TextractClient textractClient = TextractClient.builder() .region(region) .build(); detectDocTextS3(textractClient, bucketName, docName); textractClient.close(); } public static void detectDocTextS3(TextractClient textractClient, String bucketName, String docName) { try { S3Object s3Object = S3Object.builder() .bucket(bucketName) .name(docName) .build(); // Create a Document object and reference the s3Object instance. Document myDoc = Document.builder() .s3Object(s3Object) .build(); DetectDocumentTextRequest detectDocumentTextRequest = DetectDocumentTextRequest.builder() .document(myDoc) .build(); DetectDocumentTextResponse textResponse = textractClient.detectDocumentText(detectDocumentTextRequest); for (Block block : textResponse.blocks()) { System.out.println("The block type is " + block.blockType().toString()); } DocumentMetadata documentMetadata = textResponse.documentMetadata(); System.out.println("The number of pages in the document is " + documentMetadata.pages()); } catch (TextractException e) { System.err.println(e.getMessage()); System.exit(1); } } }
  • API 詳細については、「 リファレンスDetectDocumentText」の「」を参照してください。 AWS SDK for Java 2.x API

次の例は、StartDocumentAnalysis を使用する方法を説明しています。

SDK for Java 2.x
注記

については、「」を参照してください GitHub。AWS コード例リポジトリ で全く同じ例を見つけて、設定と実行の方法を確認してください。

import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.textract.model.S3Object; import software.amazon.awssdk.services.textract.TextractClient; import software.amazon.awssdk.services.textract.model.StartDocumentAnalysisRequest; import software.amazon.awssdk.services.textract.model.DocumentLocation; import software.amazon.awssdk.services.textract.model.TextractException; import software.amazon.awssdk.services.textract.model.StartDocumentAnalysisResponse; import software.amazon.awssdk.services.textract.model.GetDocumentAnalysisRequest; import software.amazon.awssdk.services.textract.model.GetDocumentAnalysisResponse; import software.amazon.awssdk.services.textract.model.FeatureType; import java.util.ArrayList; import java.util.List; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class StartDocumentAnalysis { public static void main(String[] args) { final String usage = """ Usage: <bucketName> <docName>\s Where: bucketName - The name of the Amazon S3 bucket that contains the document.\s docName - The document name (must be an image, for example, book.png).\s """; if (args.length != 2) { System.out.println(usage); System.exit(1); } String bucketName = args[0]; String docName = args[1]; Region region = Region.US_WEST_2; TextractClient textractClient = TextractClient.builder() .region(region) .build(); String jobId = startDocAnalysisS3(textractClient, bucketName, docName); System.out.println("Getting results for job " + jobId); String status = getJobResults(textractClient, jobId); System.out.println("The job status is " + status); textractClient.close(); } public static String startDocAnalysisS3(TextractClient textractClient, String bucketName, String docName) { try { List<FeatureType> myList = new ArrayList<>(); myList.add(FeatureType.TABLES); myList.add(FeatureType.FORMS); S3Object s3Object = S3Object.builder() .bucket(bucketName) .name(docName) .build(); DocumentLocation location = DocumentLocation.builder() .s3Object(s3Object) .build(); StartDocumentAnalysisRequest documentAnalysisRequest = StartDocumentAnalysisRequest.builder() .documentLocation(location) .featureTypes(myList) .build(); StartDocumentAnalysisResponse response = textractClient.startDocumentAnalysis(documentAnalysisRequest); // Get the job ID String jobId = response.jobId(); return jobId; } catch (TextractException e) { System.err.println(e.getMessage()); System.exit(1); } return ""; } private static String getJobResults(TextractClient textractClient, String jobId) { boolean finished = false; int index = 0; String status = ""; try { while (!finished) { GetDocumentAnalysisRequest analysisRequest = GetDocumentAnalysisRequest.builder() .jobId(jobId) .maxResults(1000) .build(); GetDocumentAnalysisResponse response = textractClient.getDocumentAnalysis(analysisRequest); status = response.jobStatus().toString(); if (status.compareTo("SUCCEEDED") == 0) finished = true; else { System.out.println(index + " status is: " + status); Thread.sleep(1000); } index++; } return status; } catch (InterruptedException e) { System.out.println(e.getMessage()); System.exit(1); } return ""; } }
  • API 詳細については、「 リファレンスStartDocumentAnalysis」の「」を参照してください。 AWS SDK for Java 2.x API