OCR (Optical Character Recognition) is a technology that enables the conversion of printed text into digital form. We are using Tesseract and similar technologies for document ingest, licence plate recognition and more.
OCR (Optical Character Recognition) is a technology that allows computers to recognize printed or handwritten text and convert it into digital text that can be processed and analyzed. OCR is used in a wide range of applications, from digitizing historical documents to extracting data from forms and invoices.
Tesseract is an open-source OCR engine that was originally developed by Hewlett-Packard in the 1980s and is now maintained by Google. It is one of the most accurate OCR engines available and supports over 100 languages.
Tesseract works by analyzing the patterns and shapes of text characters and using machine learning algorithms to recognize them. It can handle a wide range of text styles and fonts and is highly customizable, allowing developers to train the engine to recognize specific fonts or character sets.
One of the main advantages of Tesseract is its speed and accuracy. It can recognize text from images with high accuracy and can process large amounts of data quickly, making it ideal for applications that require fast and reliable OCR.
Tesseract also has a range of features and tools that make it easy to integrate into existing applications and workflows. It can be used as a standalone tool or integrated into other applications using APIs or libraries.
In summary, OCR and Tesseract are powerful technologies that allow computers to recognize and process printed and handwritten text. Tesseract, in particular, is a highly accurate and customizable OCR engine that is widely used in a range of applications, from digitizing historical documents to extracting data from forms and invoices.