The challenge is that the text in a PDF file, which needs to be edited, is not accessible. This can be the case, for example, with digitized old documents, typed, handwritten or printed texts. Additionally, there may be a need to correct certain content that is incorrectly represented through the processing of the manuscripts. There is also a desire to make the document searchable and indexable, which is particularly advantageous for extensive documents. A reliable and precise solution is required for this, which can contribute to improving productivity and efficiency in document management.

The OCR PDF tool provides valuable support by using optical character recognition to extract text from non-editable PDF files. It converts images of texts into editable text, ideally suited for digitizing old documents. Through the scanning process, it recognizes typed, handwritten and printed text and converts them. The result is a searchable and indexable PDF, a crucial advantage when handling large documents. Additionally, it allows for correcting inaccurate representations caused by the handwriting processing. When applied with the necessary care to clear handwriting, the OCR PDF tool ensures high precision and significantly contributes to increasing productivity and efficiency in document management.