The challenge lies in capturing text from physical documents and making them digitally available. This can be particularly problematic when working with old documents or handwritten texts, where manual entry can be time-consuming and prone to errors. Furthermore, these documents are not searchable or indexable after digitization, which complicates working with large amounts of documents. Sometimes, errors can occur during the processing of handwriting, which need tedious correction. This leads to inefficient document management and significantly hinders productivity.

The OCR PDF tool is an efficient solution for tackling this challenge. It employs optical character recognition to extract text from physical documents and make it digitally accessible. It can process both printed and handwritten texts with high precision. After processing, the tool converts the images of the text into editable text, making it the perfect tool for digitizing old or handwritten documents. Users can then easily correct any possible errors. The tool scans the entire document and with its help, the digitized documents become searchable and indexable, greatly facilitating the handling of large volumes of documents. Thus, the OCR PDF tool significantly contributes to improving productivity and efficiency in document management.