Text detection for documents involves identifying and localizing text within various types of document images, such as scanned pages, forms, and receipts. This process is crucial for applications like Optical Character Recognition (OCR), where the goal is to convert images of text into machine-readable formats. Effective text detection techniques utilize advanced algorithms, including deep learning models, to accurately recognize text in diverse orientations, fonts, and backgrounds. By extracting textual information, businesses can automate data entry, enhance document management, and improve accessibility, making text detection a vital component in the field of document analysis and processing.