Which of the following text scraping methods can preserve the text position?

The method that can preserve the text position is the combination of Native and OCR (Optical Character Recognition) scraping. This approach is particularly effective when precise text positioning is required for automation tasks.

Native text scraping utilizes the underlying structure of the application or document, allowing extraction of text while maintaining its original layout and formatting. This is beneficial when it’s crucial to retain the spatial arrangement of the extracted data, such as when working with forms, tables, or any structured document where the placement of text matters.

On the other hand, OCR complements native text scraping by recognizing and extracting text from images or less structured formats, which may not contain clear indicators of text positioning. OCR analyzes the image data and converts it into machine-readable text, allowing it to be associated with its geometric location on the screen or page.

By leveraging both Native scraping for well-structured environments and OCR for text within images, this method ensures that the position of the text is preserved, making it suitable for scenarios where the context or layout is essential for further processing or integration.

Other methods, such as data scraping and screen scraping, may not inherently maintain the text position. Data scraping focuses on extracting structured data without necessarily accounting for its visual layout, while screen scraping captures the visual representation of a