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Necessary cookies are absolutely essential for the website to function properly. Once you’ve established parsing rules, you’ll be able to extract the text you need right from your initial documents and send the parsed data out to hundreds of our integration partners – including Excel, Google Sheets, and many more. Just scan a printed document and send it into your Docparser account.
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Looking for OCR Software? Try Docparserĭocparser is a trusted OCR software tool with the ability to parse text from PDF, DOC, DOCX, and more. Additionally, the incorporation of facial recognition software with OCR is also significantly remarkable because it provides two-layer security at ATMs. The use of OCR software in banks can also scan many customers’ important handwritten guarantee documents like their loan documents and more. Many banks use OCR technology in achieving better transaction security and risk management. Document digitization in the banking sector is a great utility. In this fast-paced world, the bank is one of those institutions that use OCR the most. Do Banks use Optical Character Recognition (OCR)? OCR technology has proven immensely useful in digitizing historic newspapers and texts that have now been converted into fully searchable formats and had made accessing those earlier texts easier and faster. Less known, but as important, use cases for OCR technology include data entry automation, indexing documents for search engines, automatic number plate recognition, as well as assisting blind and visually impaired persons. OCR is often used as a “hidden” technology, powering many well-known systems and services in our daily life.
Not only was this massively time-consuming, but it also came with inaccuracy and typing errors. Once a scanned paper document goes through OCR processing, the text of the document can be edited with word processors like:īefore OCR technology was available, the only option to digitize printed paper documents was by manually re-typing the text. Probably the most well-known use case for OCR is converting printed paper documents into machine-readable text documents. What is OCR Used For? Popular Use-Cases for OCR Advanced methods like Zonal OCR are used to automate complex document-based workflows. Nowadays solutions deliver near to perfect OCR accuracy. Since then the technology has undergone several improvements. OCR Technology became popular in the early 1990s while attempting to digitize historic newspapers. OCR technology is used to convert virtually any kind of image containing written text (typed, handwritten, or printed) into machine-readable text data. It is a widespread technology to recognize text inside images, such as scanned documents and photos. Literally, OCR stands for Optical Character Recognition.
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