How OCR works
OCR software analyzes shapes in an image and matches them against learned models of letters, numbers, and punctuation. Modern systems predict whole words from context, which helps with poor scans and unusual fonts.
Accuracy depends on the input. Clean, high-contrast, level text at decent resolution recognizes far better than blurry photographs taken at an angle in dim light.
Where OCR is used
Digitizing archives, indexing receipts, extracting data from invoices, and adding search to scanned contracts are typical jobs. Phone scanners run it automatically so a photographed page becomes selectable text.
In PDFs, OCR is the difference between a page that is a picture of words and a page that actually contains them. Only the second kind can be searched, copied, or read aloud.
- Scanned contracts and forms that must be searchable
- Receipts and invoices for data entry
- Book pages and archived paper records
- Photographs of text shared for editing
OCR and Filekind
Filekind does not offer OCR today. The image-to-PDF tool arranges pictures into pages and states clearly that it does not add searchable text, so the output is not machine-readable word data.
Filekind also does not edit PDF content. For OCR you need a dedicated recognition tool, and the results can then be brought back into a workflow as ordinary text or a new document. Recognizing text once at good resolution avoids repeating the work on every later copy of the same scan.