Rileva il testo in un documento utilizzando Amazon Textract e unAWSSDK

I seguenti esempi di codice mostrano come rilevare il testo in un documento utilizzando Amazon Textract.

Java

SDK per Java 2.x

Rileva il testo da un documento di input.

    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);
        }
    }

Rileva il testo da un documento in un 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);
        }
    }

• Trova le istruzioni e altro codice su GitHub.

• Per informazioni dettagliate, consulta.DetectDocumentTextnelAWS SDK for Java 2.xDocumentazione di riferimento 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

• Trova istruzioni e altro codice su GitHub.

• Per informazioni dettagliate, consulta.DetectDocumentTextnelAWSDocumentazione di riferimento dell'API SDK for Python (Boto3).

Per un elenco completo diAWSGuide per sviluppatori SDK ed esempi di codice, vediUtilizzo di Amazon Textract con unAWSSDK. Questo argomento include anche informazioni su come iniziare e dettagli sulle versioni precedenti dell'SDK.