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Market-Leading OCR software for Windows

Integrate robust imaging, OCR, classification, forms processing and PDF compression capabilities into your Windows applications.

Overview

Scanning, OCR and PDF technologies for Windows

OmniPage Capture SDK for Windows is designed to provide fast and easy integration into software applications that run in the Windows environment, whether it's desktop, server or in the cloud. Our support team is ready to assist to help ensure your development team is productive and meets deployment timelines.
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Increase productivity, lower costs and maximize ROI with the world’s most accurate OCR solution for Windows.

Take advantage of our years of development expertise with access to a dedicated support team, tutorials and webinars.

Add document classification, form processing and extensive language support to your critical applications with add-on packages.

Enables developers to provide higher value to customers with easy-to-use APIs to shorten development cycles.

Features

Why customers choose OmniPage Capture SDK for Windows

Accurate OCR

Delivers unmatched flexibility and accuracy with machine-print OCR (OCR, OCR-A, OCR-B and MICR), handprint (ICR), checkmark (OMR) and barcode (1D and 2D) recognition engines.

Versatile APIs

Easy-to-use APIs are available to build and control characteristics of the recognition and conversion processes. Supports C/C++ programming and is available in 64-bit version.

PDF compression

Save valuable storage space and consume less bandwidth with PDF super compression. Mixed raster content PDF compression reduces files down to 2% of their original size. 

Output formats

Supports a wide range of image and application formats for outputting the conversion results, including BMP, GIF, TIF, PDF, HTML, Microsoft Office formats, RTF, TXT and XML.

Highly available 

Enables developers to create reliable, long-running document processing applications that automatically scale using all of the designated CPU power of a multicore machine.

Language support

Supports more than 125 languages such as Latin, Greek and Cyrillic alphabets as well as Arabic, Hebrew, Chinese, Vietnamese, Japanese and Korean. Provides language detection capabilities for documents with multilingual content.

System requirements

Development/Runtime environment:

  • Windows 10, 11
  • Windows Server, 2012 R2, 2016, 2019, and 2022 Windows Server Core in Docker containers
  • Microarchitecture Feature Level x86-64-v2 compatible processor required
  • Microarchitecture Feature Level x86-64-v3 compatible processor recommended

Note:

  • Microarchitecture Feature Levels defined by AMD, Intel, Red Hat, and SUSE
  • Examples for x86-64-v2: minimum 1st gen. Intel Core i5/i7, AMD K10
  • Examples for x86-64-v3: minimum 4th gen. Intel Core, AMD Excavator
  • 4 GB RAM (6 GB recommended)
  • 4 GB free disk space - Development 450 MB free disk space (less if not all recognition modules are distributed) - Runtime Microsoft Visual C++ Runtime 2015-2019 or later Microsoft .Net Framework 4.6.2 or later (for .Net applications) Microsoft .Net Core 2.1 or later (for .Net Core applications) Java 1.2 or later (for Java applications) Python 3.7, 3.8, or 3.9 (for Python applications)
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