![]() Learn more about OCR technology and discover the features and benefits of Aspose.OCR for JavaScript via C++. Automatic spelling correction will further improve the accuracy without manual intervention. NET API allows to perform a range of document processing tasks such as form processing, get and set metadata information, text and page manipulation, management of annotations, add or remove bookmarks and watermarks, attachments, custom font handling and much more. The recognition results are returned in the most popular document and data exchange formats. Various processing filters allow you to recognize rotated, skewed and noisy images. Our OCR module supports 28 languages based on Latin, Cyrillic and Asian scripts, including more than 6000 Chinese characters, and can recognize files in the most popular formats: PDF, JPG, TIFF, PNG, BMP, GIF or DjVu. You need to create an object of the TextAbsorber class. NET allows extracting text from all the pages of a PDF document. In this example, you’ll see how Aspose.PDF for. Support for various optical marked elements such as Check Box, Choice Box, Grid, Barcode & OCR. You need to create an object of pdfExtractor class and bind the input PDF file using. Extract optical marked elements from Scanned images. pdfExtractor class allows you to extract text from the whole PDF file. Can apply different noise removal filters before image recognition. With Use OCR in the optional settings, you can extract text from an image. Scan the whole image or any part of the image. Use our JPG to PDF converter to turn JPGs and other image file formats (PNG. Extracting text from a PDF document is a common requirement. Support for regular, bold and italic font styles. Aspose.OCR for JavaScript via C++ provides the highest security when embedded on the web, and will enforce the browser’s same-origin and permissions security policies. Extract Text From All the Pages of a PDF Document. As such, it can be natively integrated into your JavaScript context, including access to web browser functions. Its powerful and feature rich yet easy to use Optical Character Recognition (OCR) API is based on WebAssembly (Wasm) technology. Aspose.OCR for JavaScript via C++ lets you extract text from scanned images, screenshots, pictures from the web, or even smartphone photos without leaving your web browser.
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