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Home Shop Aspose Pty Ltd Aspose.OMR - Site Small Business / 1+ User(s)
Aspose Pty Ltd
Aspose.OMR - Site Small Business / 1+ User(s)
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Aspose.OMR for .NET – Site Small Business

Product
Product type
Number of licences
+
SKU APDNOMSE
2485.85 CHF
for EU and non-EU countries (except Switzerland) including 0% VAT
2687.20 CHF
for Switzerland including 8.1% VAT
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Volume pricing on request Swiss distributor based in Rüti ZH
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About this product

Aspose.OMR is a developer-friendly API designed for creating, generating, and recognizing machine-readable (OMR) forms across various platforms, including .NET, Java, and C++.

  • Platform Versatility: Available for .NET, Java, and C++, Aspose.OMR allows developers to integrate OMR capabilities into applications across multiple platforms.
  • Hardware Independence: Eliminates the need for specialized OMR hardware by enabling the use of standard office equipment or smartphone cameras for form scanning.
  • Customizable Form Design: Offers a flexible markup language to design OMR forms of any layout and complexity without external design tools, allowing for the inclusion of various elements such as images, QR codes, and barcodes.
  • High Recognition Accuracy: Utilizes robust optical mark detection algorithms with fine-tuning capabilities to ensure nearly 100% accurate results, even with rotated or skewed images.
  • Batch Processing Capability: Supports bulk recognition, enabling the processing of hundreds of sheets per minute, making it suitable for large-scale applications like exams and surveys.
  • Multi-Language Support: Capable of creating and recognizing forms in multiple languages, including right-to-left scripts, facilitating global applications.
  • Developer-Friendly API: Designed for ease of use, allowing developers to create professional OMR forms and recognize hand-filled data with minimal code, regardless of experience level.
  • Comprehensive File Format Support: Supports a wide range of input and output formats, including PDF, JPEG, PNG, and TIFF for scanned forms, and CSV, JSON, and XML for recognition results, ensuring compatibility with various systems.