Why can’t a scanned PDF be searched?
A scanner saves the page as an image made of pixels. When a search engine or document management system searches that file, it finds no text layer to search. OCR processes the image, produces a text layer and adds it to the file.
What decides the result: scan quality
OCR accuracy depends heavily on the input. The factors that make the most difference in practice:
- Resolution: 300 dpi is a common minimum for text documents
- Straight scans: skewed pages lower the recognition rate
- Contrast: faded photocopies and coloured backgrounds are harder
- Handwriting: recognised with noticeably lower accuracy than printed text
What becomes possible after OCR?
Once the text layer exists, the archive becomes genuinely usable: full-text search across content, comparison between documents, automatic classification suggestions, and an AI layer that can answer questions from these documents too.
In mindfile
Image-based documents go through OCR as part of the processing pipeline; the search and AI layers then work on that content. A file scanned in the 1990s becomes as easy to question as yesterday’s contract.
FREQUENTLY ASKED QUESTIONS
Does OCR read every document with 100% accuracy?
No. Accuracy is very high for cleanly scanned printed text; the error rate rises with handwriting, faded photocopies and complex tables. That is why, for critical documents, the original always remains the reference.
Does OCR change the original document?
No. OCR adds a text layer over the image; the page image and the original document are kept exactly as they were.
