Aspose.OCR Product Family Features

• Aspose.OCR for .NET is a robust optical character recognition API for adding OCR functionality to applications. The API is extensible, easy to use, compact and provides a simple set of classes for controlling character recognition. It supports commonly used image formats and provides functionalities like reading characters and fonts from images, bold and italic styles, noise removal filters, scanning of the whole image or any part of the image and much more.
• Aspose.OCR for C++ is a robust and reliable optical character recognition API. The OCR library supports text fragment detection which enables you to recognize headers and paragraphs for pages with pictures or tables. It supports commonly used formats for reading characters, fonts with different styles, noise removal filters and the ability to recognize the whole page or just single line.
• Aspose.OCR for Java is a character and optical mark recognition API that allows developers to add OCR and OMR functionality in their Java based applications. It allows extracting text from images having different fonts and styles - saving the time and effort involved in developing an OCR solution from scratch.
• Aspose.OCR for JavaScript via C++ allows you to extend your applications with optical character recognition capabilities. It supports several languages based on Latin and Cyrillic scrips as well as Chinese. OCR API can recognize scanned images, smartphone photos, screenshots, areas of images, and scanned PDFs and return results in the most popular document and data exchange formats. It is completely offline and does not require an internet connection to work. The API requires minimal effort to get started and a shallow learning curve to master. All pre-processing, skew correction, noise removal, language detection, multi-threading and other complex tasks are performed automatically, but can be tuned up to deal with hard cases.
• Aspose.OCR for Node.js via C++ allows you to extract text from scanned pages, photos, screenshots, and other images on any platform where Node.js is installed. Empower your on-premise products, web services, serverless applications, AWS Lambda, Azure Functions, and other code with optical character recognition functionality. The powerful and feature rich Optical Character Recognition (OCR) API supports 130+ languages based on Latin, Cyrillic and Asian scripts, including Chinese and Hindi, and can recognize files in the most popular formats.
• Aspose.OCR for Python via .NET is a powerful, while easy-to-use optical character recognition (OCR) engine for your Python applications and notebooks. In less than 5 lines of code, you can recognize text in more than 140+ languages, including English, Cyrillic, Arabic, Persian, Hindi, Chinese, Japanese, Korean, Tamil and many more, returning results in the most popular document and data interchange formats. The library works equally well whether it's scanned images, smartphone photos, screenshots, or scanned PDFs, obtain results in popular document and data exchange formats. Leverage pre-processing filters to handle rotated, skewed, and noisy images.
• Aspose.OCR for Python via C++ is a feature-packed library that seamlessly integrates OCR into Python applications with minimal code. Experience exceptional speed and accuracy, supporting 130+ languages, including Latin, Cyrillic, Arabic, Persian, Indic, and Chinese scripts. Recognize a variety of images, from scanned documents and smartphone photos to screenshots and scanned PDFs. Advanced pre-processing filters handle challenges like rotated, skewed, and noisy images, ensuring optimal performance by leveraging GPU processing.
• Aspose.OCR for Python via Java integrates powerful optical character recognition (OCR) capabilities into your cross-platform Python notebooks and applications. With the intuitive and high-speed API, you can extract text from scans, screenshots, web links, or smartphone photos, delivering results that are ready for consolidation, analysis, or storage. Recognize scanned images, smartphone photos, screenshots, and scanned PDFs, saving results in popular document formats. Advanced pre-processing filters handle rotated, skewed, and noisy images. Optimize performance by offloading tasks to the GPU.