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Aspose.OCR

Aspose.OCR product family is a set of character and optical tag recognition APIs to add OCR and OMR functionalities within all .NET and Java applications.

Fabricantes: Aspose Pty Ltd
Category: Utilitários
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What is Aspose.OCR?

Aspose.OCR product family is a set of character and optical tag recognition APIs to add OCR and OMR functionalities within all .NET and Java applications. Developers can dynamically create OMR templates directly using minimal code – open an existing one and save it using OMR template editor as well. With Aspose.OCR, read the characters from images and extract the full or partial text of an image. Images can also be uploaded from a URL to run OCR. It allows you to extract OMR barcode, text and scanned image data along with the support of working with all advanced OCR and OMR elements.

Aspose.OCR Product family offers individual solutions for all popular development environments:

Aspose.OCR for .NET is a character and brand optic recognition API that allows developers to add OCR and OMR functionality in their web ASP.NET applications, web services and Windows applications without requiring any additional tool or API. It provides a simple set of lessons to control character recognition.

Aspose.OCR for Java is a character and tag gallows API recognition that allows developers to add OCR and OMR functionality in their Java-based applications. It allows you to extract text from images with different fonts and styles – saving you the time and effort involved in developing an OCR solution from scratch.

Characteristics:

  • Run OCR in PDF documents
  • Support for JPG, JPEG, PNG, GIF, BMP and TIFF image files for OCR
  • Support for various optical marked elements, such as check box, choose Box, Grid, Barcodes, and OCR
  • Ease to create models dynamically as well as graphically using OMR Model Editor
  • Preview of data extracted from scanned images using OMR Model Editor
  • Scan rotated images, entire image or any part of it
  • Scan can apply different noise removal filters before image recognition
  • Extracts optical tagged data elements from scanned images
  • Read popular sources including Arial, Times New Roman, Courier New, Verdana, Tahoma, and Calibri
  • Support for regular font, bold, and italic styles

System requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD / SSD: 50 GB of free space on the main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

Resolution: 1024×768

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