Aspose.OCR Product Family

Aspose.OCR for .NET

Aspose.OCR for .NET allows you to add optical character recognition (OCR) functionality to your .NET desktop or web application in less than 10 lines of code without worrying about complex formulas, neural networks and other technical details.

Support of all popular image formats and various pre-processing filters allow you to recognize rotated, skewed and noisy images from almost any source - from high-quality scans to smartphone photos.

Implemented using Managed C#, Aspose.OCR for .NET can be used with any .NET framework. The library comes with a number of examples written in C# that allow you to quickly familiarize yourself with its functions and capabilities and give you an idea of creating solutions for your business needs.

Resources

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Aspose.OCR for Java

Aspose.OCR for Java is an optical character recognition (OCR) library that allows you to add OCR functionality to your Java applications. Extremely complex mathematical and software algorithms are encapsulated in an easy-to-use API, saving you the time and effort required to develop an OCR solution from scratch.

The library supports more than 130 Latin, Cyrillic, Chinese, and Indic scripts. You can leave the language detection to Aspose.OCR for Java or set it yourself to increase the recognition performance and reliability. All popular typefaces such as Arial, Times New Roman, Courier New, Tahoma, Calibri and more in regular, bold and italic styles are detected and recognized.

Resources

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Aspose.OCR for C++

Aspose.OCR for C++ is a native C++ library that adds image-to-text conversion functionality to your applications. The library is extremely easy to use - complex OCR tasks are done in a few lines of code. This allows you to focus on high-level tasks rather than programming algorithms and low-level coding.

We provide comprehensive documentation to get you up to speed on OCR technology and start building powerful business applications.

Resources

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Aspose.OCR for Python via .NET

Extract text from images, scanned PDF documents screenshots, pictures from the web, or even photos on most popular operating systems: Microsoft Windows, Linux, Unix, and macOS. Aspose.OCR for Python via .NET allows you to develop an application on one platform and run it on another without changing a single line of code.

We support more than 130 languages based on Latin, Cyrillic, Chinese and Indic scripts. Results can be analyzed or saved to disk. Read the documentation and start developing OCR apps in Python now.

Resources

Find more information, download Aspose.OCR for Python via .NET Wheel packages and get professional help:

Aspose.OCR for JavaScript via C++

Aspose.OCR for JavaScript via C++ allows you to extract text from scanned pages, photos, screenshots, and other images directly on a web page or from cross-platform Electron apps. It can be natively integrated into your JavaScript context, including access to all web browser functions.

Our powerful and feature rich Optical Character Recognition (OCR) API supports 28 languages based on Latin, Cyrillic and Asian scripts, including Chinese and Hindi, and can recognize files in the most popular formats. Read the documentation and start developing web pages with built-in OCR functionality.

Resources

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Aspose.OCR for Node.js via C++

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. It can be used to build on-premise applications, web services, serverless solutions, AWS Lambda, Azure Functions, and other products.

Resources

Find more information, download Aspose.OCR for Node.js via C++ package and get professional help:

Aspose.OCR for Python via Java

Search and extract text from scans, photos, PDF documents, screenshots and other graphical files on any platform with Python 3.6 and Java Runtime Environment (JRE) 8. Build one Python application for all platforms, without adjusting the code or changing the library.

Aspose.OCR for Python via Java supports over 130 languages based on Latin, Cyrillic, Chinese and Indic scrips. The recognition results can be analyzed or stored on disk. Explore the documentation and develop OCR applications in Python today.

Resources

Find more information, download Aspose.OCR for Python via Java package and get professional help:

Aspose.OCR for Python via C++

Extract text from scanned pages, photos, screenshots, and other images in your cross-platform analytical application written in Python. Add OCR functionality to Python notebooks, automation scripts, serverless applications that can run on any operation system: Microsoft Windows, Linux, Unix, and macOS.

Aspose.OCR for Python via C++ supports 28 languages based on Latin, Cyrillic, and Asian scripts, including Hindi and Chinese. The recognition results can be analyzed or stored on disk. Explore the documentation and develop OCR applications in Python today.

Resources

Find more information, download Aspose.OCR for Python via C++ package and get professional help:

Applications

Discover full capabilities of Aspose.OCR without writing a single line of code.

Free online applications
Instantly extract a text from an image, scanned PDF, photo, screenshot, or receipt, and create searchable PDFs from anywhere using only a web browser. No additional software is required on your computer.
Free mobile app
Take a photo of the text and recognize it with your smartphone.