TESSERACT OCR-AI-powered text extraction

Introduction to TESSERACT OCR

TESSERACT OCR is an advanced Optical Character Recognition (OCR) tool designed for extracting text from images, PDFs, and other documents. Developed initially by Hewlett-Packard and later maintained by Google, it stands out due to its open-source nature, high accuracy, and versatility in recognizing a wide range of languages and fonts. TESSERACT OCR is commonly used in document digitization, data extraction, and automation workflows where converting printed or handwritten text into machine-readable formats is essential. The system uses a neural network-based engine that is capable of handling complex documents, including those with distorted or noisy text. For example, in a scenario where a company needs to digitize thousands of handwritten historical documents, TESSERACT OCR can be used to scan and convert the text into editable and searchable formats. This process involves feeding the images of the documents into the OCR engine, which then recognizes the characters and outputs the text, allowing for easier storage, retrieval, and analysis.