Here are the top 10 AWS Textract interview questions and answers:

1. What is AWS Textract?

   • AWS Textract is a machine learning service offered by Amazon Web Services (AWS) that enables you to extract text and data from scanned documents, images, and PDF files.

2. How does AWS Textract work?

   • AWS Textract uses advanced machine learning algorithms to analyze documents and extract text and data. It can automatically detect and extract information such as text, tables, forms, and key-value pairs from various document formats.

3. What types of documents does AWS Textract support?

   • AWS Textract supports a wide range of document formats, including scanned documents, images (JPEG, PNG), and PDF files. It can extract text and data from both printed and handwritten content.

4. What are the key features of AWS Textract?

   • AWS Textract provides several key features, including automatic document detection, text extraction, table extraction, form extraction, handwriting recognition, and the ability to process documents in bulk.

5. Can AWS Textract extract text from multiple pages in a document?

   • Yes, AWS Textract can extract text from multiple pages in a document. It can process documents with multiple pages and return the extracted text and data for each page individually.

6. How accurate is AWS Textract in extracting text from documents?

   • AWS Textract is designed to deliver high accuracy in extracting text from documents. However, the accuracy may vary depending on factors such as document quality, formatting complexity, and handwriting legibility.

7. Can AWS Textract extract tables from documents?

   • Yes, AWS Textract can extract tables from documents. It can detect and extract tabular data, including rows, columns, and cell values, from structured documents such as invoices, forms, and financial statements.

8. How can I integrate AWS Textract into my applications?

   • AWS Textract provides a simple API that allows you to integrate it into your applications. You can use the AWS SDKs or API calls to send documents to Textract for processing and receive the extracted text and data as a response.

9. Are there any limitations or constraints with AWS Textract?

   • AWS Textract has certain limitations and constraints, such as document size limits, processing limits, and pricing considerations. It's important to review the AWS Textract documentation to understand these limitations and plan accordingly.

10. How can I optimize the performance of AWS Textract?

    • To optimize the performance of AWS Textract, you can follow some best practices such as providing high-quality input documents, using asynchronous processing for large documents, leveraging the batching capabilities, and monitoring the service usage and quotas.

Remember to adapt your answers based on your specific experience and knowledge of AWS Textract. These answers should serve as a starting point for your interview preparation.