OCR technology is key to facilitating tasks and saving time in many areas, starting with the digitization of documents. <\/p>\n\n\n\n
In addition, it solves the deficiencies of the scanned documents. After all, why do we want to scan documents if we cannot edit them or search for specific data? <\/p>\n\n\n\n
OCR stands for Optical Character Recognition , OCR technology is capable of extracting printed text in images and documents, and converting it to digital format<\/strong> (of course, editable) . <\/p>\n\n\n\n Specifically, the extracted data is processed, making it manageable and allowing us to make: corrections, copy and paste, content search, etc. <\/p>\n\n\n\n In a matter of seconds, OCR technologies streamline tasks that manually would require hours and some precision to type (and transcribe correctly). <\/p>\n\n\n\n We speak of “technologies” because there is no standard. There are as many technologies as individual or companies developing OCR, hence their accuracy and performance vary from one to another. <\/p>\n\n\n\n If you want to know more about our OCR technology, contact us here <\/a>. <\/p>\n\n\n\n OCR technologies are based on optical character recognition, that is, they are capable of recognizing letters, numbers, symbols, etc. in various types of media and formats. <\/p>\n\n\n\n In order to capture and extract information, prior work is required: the system has to internalize the data in advance. For this reason, it is necessary to carry out a system training during which the characters that the technology will recognize are stored <\/strong>. <\/p>\n\n\n\n Once this exercise of learning and accumulating characters in a database has been carried out, the system is capable of analyzing documents and images, pixel by pixel and finding characters, numbers, symbols, etc. that match the ones the system has stored.<\/p>\n\n\n\n\u26a0\ufe0f\u26a0\ufe0f\u26a0\ufe0f By the way\u2026 <\/h4>\n\n\n\n
This is how OCR technology works<\/h2>\n\n\n\n