OCR adds the functionality of editing and searching materials from a digital archive. The benefits of OCR technology to businesses include: Once transferred, OCR-processed textual information can be used by businesses more quickly and easily. Organizations can leverage OCR tools to improve:īusinesses that employ OCR capabilities to convert images and PDFs (typically originating as scanned paper documents) save time and resources that would otherwise be necessary to manage unsearchable data. The data can then be used to streamline operations, automate procedures and boost efficiency. What is Optical Character Recognition (OCR) used for?Īlmost any type of image containing written text (typed, handwritten, or printed) can be transformed into machine-readable text data using OCR technology. ICR identifies and processes a single character at a time. This method uses machine learning and AI technology to analyze the different elements of the text (curves, loops, lines, etc.). ICR uses data capture tools to read text handwritten or cursive text. Intelligent Character Recognition (ICR).The OMR type analyzes watermarks, logos, symbols, marks and patterns on a paper document. This method targets typewritten text, one specific word at a time, and is used for languages that divide words with spacing. OCR systems recognize handwritten or typed characters based on an existing internal database. The various types of OCR technologies can be categorized based on what they can capture. What are the different types of OCR technologies? Advanced OCR systems can compare extracted data against a glossary or library of characters to ensure maximum accuracy. The OCR software then converts the extracted data into electronic documents. This can be done through two main algorithms, pattern matching and feature extraction. Here, the OCR engine corrects errors through methods like de-skewing, binarization, zoning and normalization to improve the accuracy of scanned images.Īrtificial intelligence (AI) tools can be used here to identify original characters from a scanned image or document. The file is commonly rendered in black and white, which will then be used to differentiate the brighter (background) and darker (characters) regions from each other. OCR technology commonly works through a step-by-step process of:Ī scanner reads physical paper documents and converts them into a scanned image. OCR software applications might operate slightly differently, but they do adhere to a few universal rules. Optical character recognition (OCR) technology is a business solution for automating data extraction from printed or written text from a scanned document or image file and then converting the text into a machine-readable form to be used for data processing like editing or searching.
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