What Is OCR?
OCR (Optical Character Recognition) is technology that looks at an image containing text and figures out which actual characters are printed on it — turning a picture of words into real, computer-readable text.
The basic idea
A scanned page or photo is just pixels — a computer doesn't inherently know that a cluster of dark pixels represents the letter "A". OCR analyzes the shapes in the image, compares them against known character patterns, and outputs the text it recognizes, along with where each piece of text was located on the page.
What affects OCR accuracy
Image resolution and clarity matter most — a low-resolution scan or a blurry photo gives OCR less information to work with. Font choice matters too: clean, standard fonts recognize more reliably than decorative or handwritten text. And the OCR engine needs to be told which language to expect, since different languages use different character shapes and rules.
Where OCR is used
Making scanned PDFs searchable (see What Is a Searchable PDF?) is one common use. Others include digitizing printed books, reading text in photos for translation apps, and automating data entry from forms or receipts.
OCR isn't perfect
Even good OCR makes mistakes, especially on low-quality source images, unusual fonts, or handwriting. The output is a best recognition effort, not a guarantee of 100% accuracy — for text that must be exact, always compare against the original.
Can OCR read handwriting?
General-purpose OCR (like FileBench's PDF text-recognition) is optimized for printed text and handles it far more reliably than handwriting, which varies too much between individuals for consistent results.
FAQ
Does OCR work on any language?
It depends on the OCR engine's supported languages — FileBench's Make Searchable PDF tool supports English and Arabic (including mixed documents), not every language.