OCR (Optical Character Recognition)
Technology that converts images of text (scans, photos) into editable and searchable text data.
Technology that converts images of text (scans, photos) into editable and searchable text data.
Définition détaillée
Optical Character Recognition (OCR) analyzes images containing printed or handwritten text and converts it to digital text. Modern systems use deep neural networks (vision transformers, CRNN) to recognize characters with high accuracy, even on complex documents: tables, invoices, forms, old documents. OCR is often combined with NLP post-processing to correct errors and structure extracted data.
Cas d'usage
Automatic supplier invoice digitization: OCR extracts invoice number, date, amount, and line items with >99% accuracy, feeding directly into the accounting system.
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Questions fréquentes
Does OCR work with handwriting?
Yes, modern deep-learning-based OCR recognizes handwriting with good accuracy, but results are less reliable than for printed text. Specific pre-processing may be needed.
What accuracy can be expected?
For quality printed documents, accuracy exceeds 99%. For average-quality scans or handwriting, it ranges from 85% to 95%.