Understanding OCR, searchable documents and the difference between image capture and text recognition.
What is OCR?
Optical Character Recognition, or OCR, is technology that analyses a scanned image and attempts to recognise printed characters as machine-readable text.
Why use OCR?
OCR can make large document collections searchable and can support retrieval by names, dates, references and other text.
Does OCR replace the scan?
No. OCR is derived text. The page image remains important because recognition can contain errors and cannot represent every visual feature.
What affects OCR accuracy?
Type size, contrast, paper condition, skew, stains, handwriting, unusual fonts, tables, multi-column layouts and image quality can all affect recognition.
Can handwritten documents use OCR?
Conventional OCR is designed primarily for printed characters. Handwriting requires different recognition approaches and can be much more variable.
Should OCR be checked?
For important information, OCR should be treated as an aid to discovery rather than assumed to be a perfect transcription.
Frequently Asked Questions
Can old documents be OCR searched?
Often yes, if the printed text and image quality are suitable.
Can OCR read handwriting?
Standard OCR is not designed for general handwriting; handwriting recognition is a separate technology.
Does OCR change the original scan?
OCR can be embedded or stored alongside the image without changing the underlying page image.
Further Reading
Oxford Duplication Centre — Practical Expertise
Professional document digitisation depends on matching the capture method to the original. Modern loose documents may suit production scanning, while fragile, bound, oversized or unusual records need specialist handling and equipment. The aim is to create reliable digital records while protecting the original material.
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