Recognize images in C#
Perform optical character recognition on PNG, BMP, JPEG, PDF, TIFF and other documents using Aspose.OCR for .NET library.
How to recognize image using C#By following the step-by-step instructions provided in the examples, you can seamlessly integrate Aspose.OCR into your applications and leverage its powerful OCR features. Whether you need to extract text from images, preprocess documents for optimal OCR results, detect and correct skew angles, or extract specific text areas, these examples will serve as valuable resources. To add it to your project, you just need to download the Aspose.OCR Command line examples contain 10 applications:
What is areas with text detection
Areas with text detection refers to the ability of neural models to identify and locate regions within an image or document that contain textual content. These models are designed to accurately detect and delineate areas such as paragraphs, lines, or individual words. With areas with text detection, customers can leverage the power of neural models to automatically identify and extract textual information from various sources, including scanned documents, images, or PDF files. By analyzing the visual patterns and structural elements of the content, these models can accurately determine the boundaries of text blocks within the given input.
What is skew detection
By utilizing advanced computer vision algorithms, our API can automatically detect and quantify the skew angle of an image. This information can be used in various applications such as document scanning, optical character recognition (OCR), and image analysis. Correcting the skew of an image can enhance its visual appearance and improve the accuracy of subsequent image processing tasks. Simply provide the image as input, and the API will return the angle of skew, allowing you to apply the necessary transformations to align the image correctly.
Other Supported Tools
Using C#, one can easily run our examples.