Iron Software IronOCR

Commercial .NET OCR SDK for images and PDFs

Publisher

Iron Software

About this software

IronOCR is a commercial OCR SDK for .NET developers that extracts text from images and PDFs using an integrated OCR engine. It provides APIs for parsing scanned documents, screenshots, and image files and can be integrated into .NET applications via NuGet or direct SDK packages. Commercial licenses include options for maintenance and premium support as paid add-ons.

Licenses & prices

Developer

Developer edition licensed per-developer, intended for individual developers integrating IronOCR into their applications and projects.

Enterprise

Company-wide IronOCR edition designed for large deployments with extended licensing, support, and deployment options.

Professional

Professional edition for small teams offering enhanced OCR accuracy, additional features, and multi-developer usage rights.

Unlimited

License permitting unrestricted commercial deployment and server usage of IronOCR without developer or instance limits.

Lite

Entry-level IronOCR edition offering basic OCR functionality for simple text recognition and lightweight integration.

Plus

Mid-tier edition of IronOCR providing additional OCR features and performance improvements over the Lite edition.

Lite extension

Lite edition plus optional extensions that add extra OCR modules and format handling capabilities.

Plus extension

Plus edition bundled with additional extensions to support extra formats and advanced processing modules.

Unlimited extension

Unlimited license including optional extensions for comprehensive OCR features and expanded file-format support.

Enterprise extension

Enterprise edition combined with extensions to provide advanced OCR modules and enterprise-focused integrations.

Enterprise - air

Enterprise edition packaged for air-gapped environments, enabling offline deployment without external network dependencies.

Unlimited - air

Unlimited license adapted for air-gapped installations, permitting offline, unrestricted IronOCR deployment across servers.

Unlimited extension - air

Unlimited air-gapped package including extensions to deliver comprehensive offline OCR functionality and format support.

Purchase

Iron Software IronOCR

Iron Software IronOCR
In Stock
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€749.00
Free and without obligation

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Benefits

  • Text extraction: Extracts text from images, screenshots, and PDF files for .NET apps.
  • Developer SDK: Provides C# APIs and NuGet packages for easy integration into .NET projects.
  • Multi-language OCR: Supports recognition for multiple human languages and character sets.
  • Document formats: Handles common image formats and PDF documents, including scanned pages.
  • License and support: Commercial licensing options include maintenance and optional premium support add-ons.

Available languages

  • English
  • German
  • French
  • Spanish
  • & more supported languages

Support information

  • Documentation: Online documentation and code examples are available on the publisher website.
  • Premium support: Optional premium support packages are offered by the publisher as paid add-ons.
  • Maintenance options: Maintenance subscriptions provide updates and bug fixes during the covered period.
  • Distribution: SDKs are distributed via NuGet and direct download from the publisher site.
  • Developer resources: Samples, API references, and integration guides are available online for developers.

Frequently asked questions

What is Iron Software IronOCR?
IronOCR is an OCR SDK for .NET that extracts text from images and PDF documents, enabling programmatic text recognition in C# and other .NET languages.
Which platforms and languages does IronOCR support?
Built for the .NET ecosystem, it integrates with .NET Framework and modern .NET runtimes and is used from C# and other .NET languages.
What input file types can IronOCR process?
Common image formats such as JPEG, PNG, TIFF and BMP, as well as PDF documents, are typically processed for text extraction.
How can recognition accuracy be improved when using IronOCR?
Improve accuracy by supplying high-resolution, well-lit, deskewed images; crop to regions of interest; increase contrast; reduce noise; and specify correct language settings if available.