How to recognize text using Tesseract in two SDKs.

When working with scanned PDF documents, developers are often faced with the task of text recognition. To accomplish this task, you can use a combination of tools, including libraries for working with PDF and OCR (optical text recognition) technology. In this article, we will compare two popular libraries — GemBox.Document and SautinSoft Document.Net — in the context of working with Tesseract for text recognition.

GemBox.Document

GemBox.Document is a powerful library for working with documents in PDF, Word, and other formats. This library supports reading and writing documents, and also offers many functions for manipulating the contents. However, when it comes to working with scanned PDF documents, GemBox.Document may not be effective enough, as it does not have built-in support for OCR.

SautinSoft Document.Net

SautinSoft Document.Net is a more specialized library that provides document processing solutions. It offers various functions, including document conversion to other formats and integration with OCR systems. One of the key features of the SautinSoft Document. The Net feature is the ability to easily perform text recognition in a scanned PDF document using Tesseract.

Both libraries, GemBox.Document and SautinSoft Document.Net, provide useful functions for working with documents, however, SautinSoft Document.Net seems to be a more utilitarian solution for Tesseract-based OCR tasks. SautinSoft has the ability to more easily integrate text processing from images, making it the preferred choice for working with scanned documents.

GemBox.Document, although a powerful tool for document manipulation, may require more effort to process scanned PDF documents, which adds complexity to development. The choice between these libraries should be based on the specific needs of your project, but for OCR tasks with Tesseract SautinSoft Document.Net looks more attractive.