Aspose.OCR is a powerful Optical Character Recognition (OCR) library designed to seamlessly integrate into your applications, enabling accurate and efficient text extraction from images and scanned documents.

• Multi-Language Support: Recognize text in over 140 languages, including English, French, Spanish, Chinese, Japanese, Arabic, and Hindi, as well as mixed-language documents.
• Versatile Input Formats: Process a wide range of image formats such as JPEG, PNG, BMP, GIF, TIFF, and multi-page PDFs, accommodating various sources like scanners, cameras, and web links.
• High Accuracy and Reliability: Achieve exceptional recognition accuracy, even with rotated, distorted, or noisy images, ensuring dependable results across diverse scenarios.
• Advanced Layout Detection: Automatically identify and process complex layouts, including multi-column documents, tables, and mixed content, preserving the original structure of the text.
• Batch Processing Capabilities: Efficiently handle bulk recognition tasks by processing multiple images from folders, archives, or multi-page documents, streamlining large-scale OCR operations.
• Cross-Platform Compatibility: Integrate seamlessly with various platforms and programming languages, including .NET, Java, Python, C++, and JavaScript, ensuring flexibility and ease of use.
• Developer-Friendly API: Implement OCR functionality with minimal code, allowing for quick integration and reducing development time.
• Customizable Image Preprocessing: Utilize built-in image processing filters to enhance image quality before recognition, improving accuracy for low-quality or distorted images.
• Output in Multiple Formats: Save recognition results in various formats, including plain text, searchable PDFs, Microsoft Word or Excel documents, HTML, RTF, ePUB, JSON, and XML, catering to diverse application needs.
• Offline Processing: Perform all OCR tasks locally without reliance on cloud services, ensuring data privacy and security.