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OCR, short for Optical Character Recognition, is a technology that converts printed or handwritten text in scanned documents and images into machine-readable data. Traditional OCR systems rely on predefined rules and character patterns to identify and extract letters, numbers, and symbols.
It has been widely used for digitising physical documents, automating data entry, and enabling keyword searches in scanned files.
While OCR alone can digitise documents, it struggles with variable layouts, handwriting, or noisy images. That’s where
AI-enhanced OCR comes in.
The process of Optical Character Recognition typically includes:
Image capture
Scanning or photographing the physical document.
Processing
Enhancing the image for better clarity (e.g., de-skewing, noise reduction).
Text detection
Identifying zones in the document that contain text.
Recognition
Matching pixel patterns to letters and symbols.
Text output
Producing digital text files or searchable PDFs.
While OCR alone can digitise documents, it struggles with variable layouts, handwriting, or noisy images. That’s where
AI-enhanced OCR comes in.
Invoice OCR AI is the integration of artificial intelligence with Optical Character Recognition (OCR) technology, designed specifically to automate invoice processing. Unlike traditional OCR, which simply reads printed text, AI OCR invoice solutions understand context, learn from patterns, and extract structured data accurately from various invoice formats.
This innovation helps companies eliminate manual data entry, reduce errors, and accelerate payment cycles.
Whether you're processing 500 or 50,000 invoices a month, invoice OCR AI helps you move faster and with confidence.