OCR
Optical Character Recognition (OCR) is a technology used to convert different types of documents, such as scanned paper documents, PDFs or images captured by a digital camera, into editable and searchable data.
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When to use it
Use OCR when you need to extract text from images or scanned documents, and manual transcription is impractical. OCR unlocks automated data entry, indexing, and text retrieval from sources like scanned contracts or photographed receipts.
Quick example
In Adobe Acrobat, users often need to convert scanned documents into editable text files. By activating the OCR feature, Acrobat processes the scanned images and extracts the text, allowing users to edit and search the content. Here, Adobe Acrobat includes an OCR engine to facilitate this conversion.
scanned document → OCR engine → editable text → user edits → save
Ecosystem
OCR is part of a broader document processing pipeline, often integrated with scanning tools and document management systems.
scanned input → OCR → data extraction → document management → archive
Misconceptions
| Misconception | Rebuttal |
|---|---|
| OCR is 100% accurate | OCR accuracy varies with image quality and font complexity |
| OCR can read handwriting | Most OCR struggles with cursive or poorly written text |
Trade-offs
- Automation — requires high-quality images for accuracy
- Speed — complex layouts slow down processing
- Versatility — struggles with non-standard fonts or languages