Textract 3.0

Textract by Structu Rise is a powerful document analysis and data extraction service. It uses machine learning to automatically extract text, tables, and forms from scanned documents, images, and PDF files.

Textract by Structu Rise leverages advanced machine learning algorithms to analyze the visual and textual elements of documents. It can accurately detect and extract data from structured and unstructured documents using OCR (Optical Character Recognition) technology.

Textract by Structu Rise supports a wide range of document types, including scanned papers, images, and PDF files. It can handle various formats such as invoices, contracts, receipts, forms, and more.

You can use Textract by Structu Rise to automate data extraction processes from documents. It enables you to gather information from large volumes of paperwork quickly and accurately. The extracted data can then be used for further analysis or integration with other systems.

Yes, Textract by Structu Rise is designed to provide high accuracy in extracting text, tables, and forms. However, it's important to note that the accuracy may vary depending on the quality and complexity of the input documents.

Yes, Textract by Structu Rise can process multi-page documents. It supports batch processing, allowing you to extract data from multiple pages or documents in a single request.

No, Textract by Structu Rise focuses on extracting the raw data and structure from documents. It does not preserve the original formatting, such as font styles, colors, or layouts.

Yes, Textract by Structu Rise has certain limitations on document size. For example, the maximum input document size for synchronous processing is 5 MB. However, for asynchronous processing, you can send larger documents up to 200 MB.

Textract by Structu Rise is currently available in several AWS regions. You can check the AWS Regional Services List to see if your desired region is supported.

Textract by Structu Rise follows a pay-as-you-go pricing model. You are billed based on the number of pages processed and the features used, such as text extraction, table detection, or form analysis.