Icon of program: CrystalOCR

CrystalOCR for Windows

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Editors’ Review

Download.com staff
CrystalOCR is an OCR SDK that lets developers embed high-quality optical character recognition into their products. It offers excellent recognition quality and a royalty-free license.

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CrystalOCR 0/1

  • Pros

    • High-quality optical character recognition
    • Reliable recognition of any fonts
    • Excellent analysis for poor-quality text
    • Supports English, German, French, Spanish, Russian
    • Royalty-free licensing policy

  • Cons

    • No mention of specific API details
    • Documentation scope not detailed
    • No information on platform compatibility
    • No mention of performance benchmarks
    • No details on integration complexity
Icon of program: CrystalOCR

CrystalOCR for Windows

Download now

Used CrystalOCR for Windows?

Explore More

Full Specifications

GENERAL
Release
Latest update
Version
1.5-build-276
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows Vista
  • Windows 2000
  • Windows 7
  • Windows 10
  • Windows XP
Additional Requirements
None
POPULARITY
Total Downloads
181
Downloads Last Week
14
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Program available in other languages

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Developer’s Description

By Nicomsoft
Establish high-quality optical character recognition capability to your products.
CrystalOCR - is an OCR software development kit. Developers can use it to embed high-quality optical character recognition functionality in their products. Recognition quality, agility, small size, ease of use, and a royalty-free licensing policy are the main advantages of CrystalOCR.While the recognition quality delivered by CrystalOCR is on a par with the premium OCR packages on the market, we also offer a royalty-free licensing policy. This gives our customers the lowest total cost of ownership of a quality OCR system, enabling them to create software products that are more competitive. It features unique character analysis technology delivering reliable recognition of any fonts even in poor-quality images, excellent analysis algorithms for poor-quality text, distorted, connected and broken characters, dictionaries are used for the best recognition, and English, German, French, Spanish and Russian languages support.
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