The primary purpose of Amazon Textract is to extract text and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables in document images, making it easier to analyze and query. Here are the steps it follows:

1. Upload Document: You start by uploading a document to Amazon Textract. This could be a scanned document, a PDF, or a photo from a document.

2. Analyze Document: Amazon Textract then analyzes the document. It uses machine learning to read and understand the document. It can identify different types of data, such as forms and tables.

3. Extract Data: After analyzing the document, Amazon Textract extracts the data. It can extract not just the text, but also the structure and format of the document. For example, it can understand that a certain piece of text is a heading, or that a certain set of data is a table.

4. Return Data: Finally, Amazon Textract returns the extracted data. This data can then be used in various ways, such as to populate a database, to automate data entry processes, or to analyze the data further.

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The primary purpose of Amazon Textract is to extract text and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables in document images, making it easier to analyze and query. Here are the steps it follows:

1. Upload Document: You start by uploading a document to Amazon Textract. This could be a scanned document, a PDF, or a photo from a document.

2. Analyze Document: Amazon Textract then analyzes the document. It uses machine learning to read and understand the document. It can identify different types of data, such as forms and tables.

3. Extract Data: After analyzing the document, Amazon Textract extracts the data. It can extract not just the text, but also the structure and format of the document. For example, it can understand that a certain piece of text is a heading, or that a certain set of data is a table.

4. Return Data: Finally, Amazon Textract returns the extracted data. This data can then be used in various ways, such as to populate a database, to automate data entry processes, or to analyze the data further.

Knowee AI · Accepted Answer

The primary purpose of Amazon Textract is to extract text and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables in document images, making it easier to analyze and query. Here are the steps it follows:

1. Upload Document: You start by uploading a document to Amazon Textract. This could be a scanned document, a PDF, or a photo from a document.

2. Analyze Document: Amazon Textract then analyzes the document. It uses machine learning to read and understand the document. It can identify different types of data, such as forms and tables.

3. Extract Data: After analyzing the document, Amazon Textract extracts the data. It can extract not just the text, but also the structure and format of the document. For example, it can understand that a certain piece of text is a heading, or that a certain set of data is a table.

4. Return Data: Finally, Amazon Textract returns the extracted data. This data can then be used in various ways, such as to populate a database, to automate data entry processes, or to analyze the data further.

What is the primary purpose of Amazon Textract?

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