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Market-Leading OCR software for Mac

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

Overview

Scanning, OCR and PDF technologies for Mac

OmniPage Capture SDK for Mac is designed to provide fast and easy integration into software applications that run in the Mac 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.

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 Mac

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

Hardware:

Development
  • Intel or Apple Silicon based computer with macOS
  • 4 GB minimum RAM (more for working with grayscale or color images)
  • 2 GB free disk space
Runtime:
  • Intel or Apple Silicon based computer with macOS
  • 2 GB minimum RAM
  • 800 MB free hard disk space (less if not all recognition modules are distributed)
Supported versions of macOS:
  • macOS 13 (Ventura) 13.3
  • macOS 12 (Monterey) 12.6.4
  • macOS 11 (Big Sur) 11.7.5
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