Optical Character Recognition (OCR)
Definition
OCR converts characters from images or scans into recognizable text.
The automatic recognition of printed or handwritten characters from images or scanned documents.
Simply explained
A computer reads text from an image so it can be further processed.
Why it matters in practice
Helps realistically assess model quality, limits, and technical decisions.
Example from business
Invoices are recognized, fields extracted, and then checked against rules.
Limits and pitfalls
- Accepting OCR output unchecked or ignoring layout, language, and image quality.
Origin & history
OCR evolved from pattern methods to statistical and neural models.
Use in mid-sized companies
- Possible example: Invoices are recognized, fields extracted, and then checked against rules.
Frequently asked questions
What does Optical Character Recognition mean?
The automatic recognition of printed or handwritten characters from images or scanned documents.
Which mistakes should be avoided?
Accepting OCR output unchecked or ignoring layout, language, and image quality.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
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