tekstituvastus

Tekstituvastus, also known as Optical Character Recognition (OCR), is a technology that converts images of typed, handwritten, or printed text into machine-readable text data. This process typically involves an optical scanner or a digital image of a document. The OCR software analyzes the image, identifies individual characters, and converts them into a digital format that can be edited, searched, and processed by computers.

The development of OCR technology dates back to the mid-20th century, with significant advancements occurring in recent decades due to increased computing power and sophisticated algorithms. Early OCR systems were limited in their accuracy and ability to handle different fonts and image qualities. Modern OCR systems, however, are remarkably proficient and can achieve high accuracy rates even with challenging inputs.

Tekstituvastus has a wide range of applications across various industries. It is commonly used for digitizing historical documents, making them accessible for research and preservation. In libraries and archives, OCR allows for the full-text searching of vast collections. Businesses utilize it for processing invoices, receipts, and other forms, automating data entry and reducing manual labor. Furthermore, OCR plays a crucial role in accessibility tools, enabling visually impaired individuals to access printed information through screen readers. Mobile applications also leverage OCR for tasks like scanning business cards or translating text from signs in real-time. The continuous improvement of machine learning and artificial intelligence is further enhancing the capabilities and accuracy of tekstituvastus.