{"id":12634,"date":"2024-01-04T07:00:00","date_gmt":"2024-01-04T15:00:00","guid":{"rendered":"https:\/\/formtek.com\/blog\/?p=12634"},"modified":"2023-10-22T09:50:03","modified_gmt":"2023-10-22T17:50:03","slug":"how-ocr-can-accelerate-business-automation","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/how-ocr-can-accelerate-business-automation\/","title":{"rendered":"How OCR Can Accelerate Business Automation"},"content":{"rendered":"\n

A key technology that can enable business automation is optical character recognition (OCR), the ability to convert scanned images of text into machine-readable data. Business automation that uses OCR can streamline and optimize workflows, reduce costs, and improve efficiency. <\/p>\n\n\n\n

OCR is often used as part of an enterprise content management (ECM) solution. It can speed up the process of capturing, managing, storing, and delivering content across an organization. Many of the types of documents involved with ECM, like invoices, contracts, forms, and reports contain valuable information that needs to be extracted, processed, and analyzed.<\/p>\n\n\n\n

However, many business documents are still in paper format or scanned as images, which makes them difficult to access, search, and use. This is where OCR comes in handy. OCR can automate the process of digitizing paper documents and extracting data from scanned images. This can save time, reduce errors, and enhance productivity.<\/p>\n\n\n\n

One of the ways that OCR can help with ECM is by enabling form recognition. Forms recognition is the ability to identify and capture data from structured or semi-structured forms, such as surveys, applications, or orders. Forms recognition can use OCR to read the text fields, checkboxes, signatures, and barcodes on a form and convert them into data that can be stored in a database or integrated with other systems.<\/p>\n\n\n\n

Another way that OCR can help with ECM is by enabling content capture and metadata mapping. Content capture is the process of collecting and importing content from various sources into an ECM system. Metadata mapping is the process of assigning metadata values or fields to the content to describe its attributes, such as title, author, date, or keywords. Metadata mapping can use OCR to extract relevant information from the content and associate it with predefined metadata categories or terms. This can improve the organization, classification, and findability of the content.<\/p>\n\n\n\n

OCR boosts business automation with ECM by transforming paper documents and scanned images into digital assets that can be easily managed and used. It can also enhance the quality and accuracy of the data extracted from the documents and enable faster and smarter decision-making. Newer implementations of OCR leverage artificial intelligence (AI) to improve its performance and accuracy, especially for complex or handwritten documents. OCR has also been integrated with other technologies, like natural language processing (NLP), to provide deeper insights and analysis of the data.<\/p>\n\n\n\n

OCR is a powerful tool for helping businesses achieve their ECM automation goals. By using OCR, businesses can unlock the value of their documents and content and gain a competitive edge in the digital era.<\/p>\n

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A key technology that can enable business automation is optical character recognition (OCR), the ability to convert scanned images of text into machine-readable data. Business automation that uses OCR can streamline and optimize workflows, reduce costs, and improve efficiency. OCR…<\/span><\/p>\n

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