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And its award-winning recognition technologies, automatic document classification, plus a highly scalable and customizable architecture, mean that it can help companies and organizations of any size to streamline their business processes, increase efficiency and reduce costs.\r\nTransform streams of documents of any structure and complexity into business-ready data\r\nCapture With Mobile\r\nABBYY FlexiCapture for iOS turns smartphones into portable scanners that capture information from paper documents and deliver it to back-end systems.\r\nSoftware for Document-driven Business Processes\r\nOne system for processing all kinds of paper documents in any industry\r\nIntelligent Auto-learning Technology Makes Set Up Easy\r\nInteractive training technology simplifies system implementation and set up.\r\nMobile Document Capture\r\nFlexiCapture’s mobile capture client provides an alternative entry point for documents – usable at anytime, from anywhere.\r\nWhat is Forms Processing?\r\nForms processing is a process whereby information entered into data fields is converted into electronic form. Automated form processing software interprets machine-print (OCR), isolated handprint (ICR), mark sense (OMR) and barcodes from paper forms.&nbsp;\r\nProduct History\r\nThe development of ABBYY data capture products started in 1995. At that time the team was working on two projects: the development of hand-written form recognition and FlexiCapture technology - which enables data extraction from documents with flexible layouts.","shortDescription":"ABBYY FlexiCapture - Capture data from any documents, from structured forms and surveys to unstructured text-heavy papers.","type":"Software","isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"ABBYY FlexiCapture","keywords":"data, documents, from, into, ABBYY, capture, FlexiCapture, processing","description":"ABBYY FlexiCapture is a powerful data capture and document processing solution from a world-leading technology vendor. It is designed to transform streams of documents of any structure and complexity into business-ready data. 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OCR is sometimes also referred to as <span style=\"font-weight: bold; \">text recognition.</span>\r\nIt is widely used as a form of data entry from printed paper data records, whether passport documents, invoices, bank statements, computerised receipts, business cards, mail, printouts of static-data, or any suitable documentation. OCR program works best on text that has already been typed, either in cases where an original printout has been lost, or in scanning sheets typed on a typewriter. Good OCR software may also be able to translate handwritten text, however, although the error rate on this sort of conversion tends to be much higher.\r\nThe actual term OCR software is a bit misleading, as most modern versions do not in fact use optical character recognition, but actually use digital character recognition. This is because some years ago the fields effectively merged, and both fields adopted the more attractive term optical character recognition. Character recognition software has advanced a great deal in recent years, with modern programs substantially better than their predecessors at identifying text.\r\n<span style=\"color: rgb(97, 97, 97); \">OCR systems are made up of a combination of hardware and software that is used to convert physical documents into machine-readable text. Hardware, such as an optical scanner or specialized circuit board is used to copy or read text while optical recognition software typically handles the advanced processing. OCR technology software can also take advantage of artificial intelligence (AI) to implement more advanced methods of intelligent character recognition (ICR), like identifying languages or styles of handwriting.</span> \r\nThe process of OCR is most commonly used to turn&nbsp; hard copy legal or historic documents into PDFs. Once placed in this soft copy, users can edit, format and search the document as if it was created with a word processor.\r\nThe <span style=\"font-weight: bold; \">first step of OCR</span> is using a scanner to process the physical form of a document. Once all pages are copied, optical character recognition software converts the document into a two-color, or black and white, version. The scanned-in image or bitmap is analyzed for light and dark areas, where the dark areas are identified as characters that need to be recognized and light areas are identified as background.\r\nThe dark areas are then processed further to find alphabetic letters or numeric digits. OCR products can vary in their techniques, but typically involve targeting one character, word or block of text at a time. Characters are then identified using one of two algorithms:\r\n<span style=\"font-weight: bold; \">Pattern recognition</span> - OCR<span style=\"font-size:10pt; font-family:Arial; font-style:normal; \">recognition</span>programs are fed examples of text in various fonts and formats which are then used to compare, and recognize, characters in the scanned document.\r\n<span style=\"font-weight: bold; \">Feature detection</span> - OCR programs apply rules regarding the features of a specific letter or number to recognize characters in the scanned document. Features could include the number of angled lines, crossed lines or curves in a character for comparison. For example, the capital letter “A” may be stored as two diagonal lines that meet with a horizontal line across the middle.\r\nWhen a character is identified, it is <span style=\"font-weight: bold; \">converted into an ASCII code</span> that can be used by computer systems to handle further manipulations. Users should correct basic errors, proofread and make sure complex layouts were handled properly before saving the document for future use.","materialsDescription":"<h1 class=\"align-center\"> OCR (Optical Character Recognition) use cases</h1>\r\n<p class=\"align-center\">Uses of OCR have a variety of applications, including:</p>\r\n<ul><li>Scanning printed documents into versions that can be edited with word processors, like Microsoft Word or Google Docs.</li><li>Indexing print material for search engines.</li><li>Automating data entry, extraction and processing.</li><li>Deciphering documents into text that can be read aloud to visually-impaired or blind users.</li><li>Archiving historic information, such as newspapers, magazines or phonebooks, into searchable formats.</li><li>Electronically depositing checks without the need for a bank teller.</li><li>Placing important, signed legal documents into an electronic database.</li><li>Recognizing text, such as license plates, with a camera or software.</li><li>Sorting letters for mail delivery.</li><li>Translating words within an image into a specified language.</li></ul>\r\n<h1 class=\"align-center\">Choosing the Right Character Recognition Solution: OCR and ICR</h1>\r\nThough recent technology advancements improved data recognition, many offices continue to rely on manual entry and sorting processes. OCR (Optical Character Recognition) and ICR (Intelligent Character Recognition&nbsp; or Intelligent Document Recognition software) are essential components of Advanced Data Capture that digitally capture images and text. Both technologies provide companies with enhanced images and critical business information. So, what are the differences between OCR and ICR, and how do these differences pertain to your documents? \r\n<span style=\"font-weight: bold; \">Optical Character Recognition</span> refers to the process where documents are captured and digitally converted into searchable text that you can edit. OCR is primarily used to read machine-generated documents with typed or printed text. The technology reads brightness and text font of these documents, recognizing characters with utmost accuracy. OCR is a perfect solution for companies that need information from paper documents and PDF files, and is great for translating longer documents. For example, if you need to pull quotes from a document for another project, OCR will allow you to easily search, retrieve and extract text.\r\n<span style=\"font-weight: bold; \">Intelligent Character Recognition</span>, takes OCR a step further with more intensive character recognition. While OCR mainly encompasses machine-printed characters, the best of best intelligent character recognition software can recognize handwritten text, and translate them into searchable files. Like OCR, ICR scans, reviews and translates the text. ICR is a compatible solution for offices with many checks, timesheets and other handwritten documents.<br /><br />","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/OCR_-_Optical_character_recognition.png"}],"characteristics":[],"concurentProducts":[{"id":182,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/ABBYY-FineReader.png","logo":true,"scheme":false,"title":"ABBYY FineReader","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":2,"alias":"abbyy-finereader","companyTitle":"ABBYY","companyTypes":["vendor"],"companyId":2060,"companyAlias":"abbyy","description":"ABBYY FineReader is a versatile PDF tool which empowers information workers to efficiently manage documents in the digital workplace. It harnesses ABBYY’s AI-based OCR technology to make it easier to digitize, retrieve, edit, protect, share, and collaborate on all kinds of documents in the modern working world.\r\nFineReader reduces inefficiencies resulting from a variety of causes: inaccessible, nonsearchable documents and information; workflows that involve a mix of paper and digital documents; and tasks that require the use of multiple software applications. This allows information workers to focus on their areas of expertise, rather than the intricacies of their administrative tasks.<br /><br /><span style=\"font-weight: bold;\">BENEFITS</span><br />\r\n<span style=\"font-weight: bold;\">Optimize document processes</span><br />\r\nDigitize, retrieve, edit, protect, share, and collaborate on all kinds of documents in one workflow.<br /><span style=\"font-weight: bold;\"></span>\r\n<span style=\"font-weight: bold;\">Make the most of PDFs</span><br />\r\nEdit digital and scanned PDFs with a newfound ease: correct whole sentences and paragraphs or even adjust the layout.<br /><br /><span style=\"font-weight: bold;\">Digitize the document workflow</span><br />\r\nIncorporate paper documents into a digital workplace with AI-based OCR technology to simplify daily work.<br /><br /><span style=\"font-weight: bold;\">Streamline IT costs</span><br />\r\nBenefit from one-time payment and progressive volume discounts to maximize the impact across your organization.<br /><br /><span style=\"font-weight: bold;\">Standardize software assets</span><br />\r\nDeploy one PDF solution throughout your organization to ensure multiple stakeholders can collaborate smoothly.<br /><br /><span style=\"font-weight: bold;\">Simplify license management</span><br />\r\nLower IT workload with automated deployment and straightforward license management.","shortDescription":"ABBYY FineReader is a Highly intelligent text recognition (OCR) software for everyday, ad-hoc digitization and document conversion.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"ABBYY FineReader","keywords":"document, software, ABBYY, FineReader, Corporate, business, processing, tool","description":"ABBYY FineReader is a versatile PDF tool which empowers information workers to efficiently manage documents in the digital workplace. 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OCR is sometimes also referred to as <span style=\"font-weight: bold; \">text recognition.</span>\r\nIt is widely used as a form of data entry from printed paper data records, whether passport documents, invoices, bank statements, computerised receipts, business cards, mail, printouts of static-data, or any suitable documentation. OCR program works best on text that has already been typed, either in cases where an original printout has been lost, or in scanning sheets typed on a typewriter. Good OCR software may also be able to translate handwritten text, however, although the error rate on this sort of conversion tends to be much higher.\r\nThe actual term OCR software is a bit misleading, as most modern versions do not in fact use optical character recognition, but actually use digital character recognition. This is because some years ago the fields effectively merged, and both fields adopted the more attractive term optical character recognition. Character recognition software has advanced a great deal in recent years, with modern programs substantially better than their predecessors at identifying text.\r\n<span style=\"color: rgb(97, 97, 97); \">OCR systems are made up of a combination of hardware and software that is used to convert physical documents into machine-readable text. Hardware, such as an optical scanner or specialized circuit board is used to copy or read text while optical recognition software typically handles the advanced processing. OCR technology software can also take advantage of artificial intelligence (AI) to implement more advanced methods of intelligent character recognition (ICR), like identifying languages or styles of handwriting.</span> \r\nThe process of OCR is most commonly used to turn&nbsp; hard copy legal or historic documents into PDFs. Once placed in this soft copy, users can edit, format and search the document as if it was created with a word processor.\r\nThe <span style=\"font-weight: bold; \">first step of OCR</span> is using a scanner to process the physical form of a document. Once all pages are copied, optical character recognition software converts the document into a two-color, or black and white, version. The scanned-in image or bitmap is analyzed for light and dark areas, where the dark areas are identified as characters that need to be recognized and light areas are identified as background.\r\nThe dark areas are then processed further to find alphabetic letters or numeric digits. OCR products can vary in their techniques, but typically involve targeting one character, word or block of text at a time. Characters are then identified using one of two algorithms:\r\n<span style=\"font-weight: bold; \">Pattern recognition</span> - OCR<span style=\"font-size:10pt; font-family:Arial; font-style:normal; \">recognition</span>programs are fed examples of text in various fonts and formats which are then used to compare, and recognize, characters in the scanned document.\r\n<span style=\"font-weight: bold; \">Feature detection</span> - OCR programs apply rules regarding the features of a specific letter or number to recognize characters in the scanned document. Features could include the number of angled lines, crossed lines or curves in a character for comparison. For example, the capital letter “A” may be stored as two diagonal lines that meet with a horizontal line across the middle.\r\nWhen a character is identified, it is <span style=\"font-weight: bold; \">converted into an ASCII code</span> that can be used by computer systems to handle further manipulations. Users should correct basic errors, proofread and make sure complex layouts were handled properly before saving the document for future use.","materialsDescription":"<h1 class=\"align-center\"> OCR (Optical Character Recognition) use cases</h1>\r\n<p class=\"align-center\">Uses of OCR have a variety of applications, including:</p>\r\n<ul><li>Scanning printed documents into versions that can be edited with word processors, like Microsoft Word or Google Docs.</li><li>Indexing print material for search engines.</li><li>Automating data entry, extraction and processing.</li><li>Deciphering documents into text that can be read aloud to visually-impaired or blind users.</li><li>Archiving historic information, such as newspapers, magazines or phonebooks, into searchable formats.</li><li>Electronically depositing checks without the need for a bank teller.</li><li>Placing important, signed legal documents into an electronic database.</li><li>Recognizing text, such as license plates, with a camera or software.</li><li>Sorting letters for mail delivery.</li><li>Translating words within an image into a specified language.</li></ul>\r\n<h1 class=\"align-center\">Choosing the Right Character Recognition Solution: OCR and ICR</h1>\r\nThough recent technology advancements improved data recognition, many offices continue to rely on manual entry and sorting processes. 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For example, if you need to pull quotes from a document for another project, OCR will allow you to easily search, retrieve and extract text.\r\n<span style=\"font-weight: bold; \">Intelligent Character Recognition</span>, takes OCR a step further with more intensive character recognition. While OCR mainly encompasses machine-printed characters, the best of best intelligent character recognition software can recognize handwritten text, and translate them into searchable files. Like OCR, ICR scans, reviews and translates the text. 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To increase the processing efficiency of primary financial documents and to automatically transfer data into working documents, PwC management decided to implement ABBYY® FlexiCapture® intelligent solution for automated data capture and document processing.\r\nIt enables much faster data transfer from contracts, invoices, payment orders, and other\r\ntypes of structured and unstructured documents, increasing the overall efficiency of document-driven business processes across an enterprise.\r\n<span style=\"font-weight: bold;\">How It Works</span>\r\nWhen a PwC employee uploads batches of scanned documents to ABBYY server, ABBYY FlexiCapture automatically:\r\n1. enhances document images and identifies document types\r\n2. identifies which of these documents are to be processed (OCRed), and extracts only required data (according to the user-defined rules)\r\n3. transfers the extracted information into a master spreadsheet.\r\nThus, the employee obtains the information needed for auditing and supporting records in a quick and convenient manner.\r\n<span style=\"font-weight: bold;\">Document Processing Is Easier and Faster</span>\r\nIn one of the pilot projects at the early implementation stage with PwC, FlexiCapture extracted data from more than 1,000 primary financial documents and verified it against post-transaction data in the PwC client’s accounting system. 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