image-to-text

Image-to-text (OCR) converts printed, handwritten, or digital image-based content into machine-encoded, searchable text, digitizing documents like invoices and forms with high accuracy via advanced AI models.

This technology, primarily Optical Character Recognition (OCR), uses deep learning models (e.g., CNNs, Google's Tesseract) to analyze an image's pixel patterns, segmenting text into characters, words, and structured data. It's a critical workflow accelerator: businesses leverage it to automate data entry from high-volume documents (bank statements, receipts, legal forms), reducing manual transcription time by up to 80%. Modern AI-driven OCR goes beyond simple character recognition (ICR), handling complex layouts, varying fonts, and even messy handwriting to deliver editable, searchable data for immediate integration into enterprise systems.

https://www.ibm.com/topics/ocr