The most well known use case for OCR is conversion of printed paper documents into machine-readable text documents. Once a scanned document is passed through OCR, the text of the document can be edited with word processors like Microsoft Word or Google Docs. Before OCR technology was present, the only option to digitise printed paper documents was to manually re-typing the text. Not only was this time consuming but also came with inaccuracy and typing errors.
OCR is often used as a hidden technology, powering many known systems and services in our daily life. Less known, but as important, use case for OCR technology includes data entry automation, indexing documents for search engines, as well as assisting blind and visually impaired persons.OCR technology has proved to be immensely useful in digitising historic newspapers and texts that has now been converted to fully searchable formats and made accessing those earlier texts easier and faster. We at Imaginorlabs have developed Automated system that can extract text from ID Cards, Invoices, PDFs, etc and stored them in Databases and Excel sheets, saving a lot of time and effort for our clients.