Tekstituvastusta

Tekstituvastus, often referred to as OCR (Optical Character Recognition), is a technology that enables the conversion of different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable text. This process typically involves analyzing an image, identifying individual characters, and then translating them into machine-readable text.

The core functionality of tekstituvastus lies in its ability to "read" text from visual sources. This is achieved through complex algorithms that can differentiate between various fonts, sizes, and even handwriting styles, although accuracy can vary depending on the quality and clarity of the original document. Early OCR systems were often limited to specific fonts and required significant manual correction. However, modern tekstituvastus technology has become remarkably sophisticated, capable of handling a wide range of documents with high accuracy.

The applications of tekstituvastus are diverse and impactful. It plays a crucial role in digitizing archives, making historical documents accessible and searchable. Businesses utilize it for processing invoices, forms, and other paperwork, significantly reducing manual data entry and improving efficiency. In the field of accessibility, tekstituvastus allows visually impaired individuals to access printed materials through screen readers. It also facilitates content analysis and information retrieval from large volumes of text-based documents, powering search engines and data mining operations.