Edmund Fournier d’Albe invented the Optophone to scan and convert text into sound for visually impaired people. OCR was also one of the earliest fields of artificial technology research and has emerged as a mature technology. Optical Character Recognition is a significant area of research in artificial intelligence, pattern recognition, and computer vision.

Viso Suite provides no-code AI to build vision pipelines and apply OCR as part of powerful Edge AI applications. Our background: At viso.ai, we power the end-to-end computer vision platform Viso Suite that enables leading companies to build, deploy and scale real-world computer vision systems. We’ll also cover the benefits of using OCR and describe the most important OCR applications and use cases of AI to read text from images. In this article, we’ll discuss what OCR is and how it works, as well as some of the best tools, algorithms, and techniques for OCR. If you’re looking for a guide on Optical Character Recognition (OCR), look no further! Optical Character Recognition or Optical Character Reader (or OCR) describes the process of converting printed or handwritten text into a digital format with image processing.

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