

Find out what your peers are saying about ABBYY, UiPath, Automation Anywhere and others in Intelligent Document Processing (IDP).
| Product | Mindshare (%) |
|---|---|
| Amazon Textract | 2.3% |
| Infrrd OCR | 1.7% |
| Other | 96.0% |

Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Many companies today extract data from documents and forms through manual data entry that’s slow and expensive or through simple optical character recognition (OCR) software that requires manual customization or configuration. Rules and workflows for each document and form often need to be hard-coded and updated with each change to the form or when dealing with multiple forms. If the form deviates from the rules, the output is often scrambled and unusable.
Amazon Textract overcomes these challenges by using machine learning to instantly “read” virtually any type of document to accurately extract text and data without the need for any manual effort or custom code. With Textract you can quickly automate document workflows, enabling you to process millions of document pages in hours. Once the information is captured, you can take action on it within your business applications to initiate next steps for a loan application or medical claims processing. Additionally, you can create smart search indexes, build automated approval workflows, and better maintain compliance with document archival rules by flagging data that may require redaction.
Infrrd's OCR is used for scanning and extracting data from a wide range of documents. It allows the documents to be uploaded as text documents instead of images. Any kind of printed document, be it receipts, invoices, contracts, utility bills, licences, bank statements etc can be scanned easily and promptly with this solution. Infrrd OCR uses NLP instead of templates for recognizing entities in the document, and Machine learning for building an automatic context around the document being handled.
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