Mendeteksi teks dalam dokumen menggunakan Amazon Textract Texact danAWSSDK

Contoh kode berikut ini menunjukkan cara mendeteksi teks dalam dokumen menggunakan Amazon Textract.

Java

SDK for Java 2.x

Mendeteksi teks dari dokumen masukan.

    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();

            Iterator<Block> blockIterator = docInfo.iterator();

            while(blockIterator.hasNext()) {
                Block block = blockIterator.next();
                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);
        }
    }

Mendeteksi teks dari dokumen yang terletak di bucket Amazon S3.

    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();

            // Create a DetectDocumentTextRequest object
            DetectDocumentTextRequest detectDocumentTextRequest = DetectDocumentTextRequest.builder()
                    .document(myDoc)
                    .build();

            // Invoke the detectDocumentText method
            DetectDocumentTextResponse textResponse = textractClient.detectDocumentText(detectDocumentTextRequest);

            List<Block> docInfo = textResponse.blocks();

            Iterator<Block> blockIterator = docInfo.iterator();

            while(blockIterator.hasNext()) {
                Block block = blockIterator.next();
                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);
        }
    }

• Temukan instruksi dan kode lainnyaGitHub.

• Untuk rincian selengkapnya, lihatDetectDocumentTextdiAWS SDK for Java 2.xReferensi API.

Python

SDK for Python (Boto3)

class TextractWrapper:
    """Encapsulates Textract functions."""
    def __init__(self, textract_client, s3_resource, sqs_resource):
        """
        :param textract_client: A Boto3 Textract client.
        :param s3_resource: A Boto3 Amazon S3 resource.
        :param sqs_resource: A Boto3 Amazon SQS resource.
        """
        self.textract_client = textract_client
        self.s3_resource = s3_resource
        self.sqs_resource = sqs_resource

    def detect_file_text(self, *, document_file_name=None, document_bytes=None):
        """
        Detects text elements in a local image file or from in-memory byte data.
        The image must be in PNG or JPG format.

        :param document_file_name: The name of a document image file.
        :param document_bytes: In-memory byte data of a document image.
        :return: The response from Amazon Textract, including a list of blocks
                 that describe elements detected in the image.
        """
        if document_file_name is not None:
            with open(document_file_name, 'rb') as document_file:
                document_bytes = document_file.read()
        try:
            response = self.textract_client.detect_document_text(
                Document={'Bytes': document_bytes})
            logger.info(
                "Detected %s blocks.", len(response['Blocks']))
        except ClientError:
            logger.exception("Couldn't detect text.")
            raise
        else:
            return response

• Temukan instruksi dan kode lainnyaGitHub.

• Untuk rincian selengkapnya, lihatDetectDocumentTextdiAWSReferensi API SDK for Python (Boto3).

Untuk daftar lengkapAWSPanduan pengembang SDK dan contoh kode, lihatMenggunakan Amazon Textract Texact denganAWSSDK. Topik ini juga mencakup informasi tentang memulai dan rincian tentang versi SDK sebelumnya.