Extracting text from documents with Amazon Textract

Manually extracting information from documents is slow, expensive, and prone to errors. Traditional optical character recognition software needs a lot of customization, and it will still give erroneous output. To avoid such manual processes and errors, you should use Amazon Textract. Generally, you convert the documents into images to detect bounding boxes around the texts in images. You then apply character recognition to read the text from it. Textract does all this for you, and also extracts text, tables, forms, and other data for you with minimal effort. If you get low-confidence results from Amazon Textract, then Amazon A2I is the best solution.

Textract reduces the manual effort of extracting text from millions of scanned document pages. Once the information has been captured, actions can be taken on the text, such as storing it in different data stores, analyzing sentiments, or searching for keywords. The following diagram...