IRISOCR sdk™ for easy, modular and cross-platform integration

IRISOCR™ sdk

With IRISOCR™ sdk, put the power of IRIS technologies into your own application. Rely on IRIS’ 35+ years of experience in OCR technologies. IRISOCR™ sdk is amongst the most competitive and fastest professional OCR Software development kit on the market. It enables your custom application to convert all images into indexed and editable files and provides multiple users with document recognition services.

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IRISOCR™ sdk
With our OCR SDK, only pay for what you need

With our OCR SDK, only pay for what you need

IRISOCR™ sdk is a modular OCR software toolkit.

Pick among different modules to implement them in your own application.

With several business models including no page or volume limitation, IRIS offers very flexible pricing taking your market constraints into consideration.

Create a custom OCR application with the best IRIS recognition technologies

Versatile and multi-platform

Versatile and multi-platform

Create your custom OCR solution, from entry-level OCR software to a complete document management platform, for a variety of development environments.
Feature Rich

Feature Rich

Improve scanned images with powerful image cleaning tools; deskew scanned text, detect its orientation, and much more.
Easy to install and use

Easy to install and use

Develop a complete OCR solution in a few hours thanks to demo applications and included sample codes for integration in C++, C#, J# or VB.NET applications.

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Imaging Module

Imaging Module

Load and save pictures in formats such as BMP, PNG, TIFF, PDF and JPEG. Use JPEG2000 and JBIG2 compression, with a separate extension.

Pre-Processing

Pre-Processing

Optimize your OCR results and clean up original images, with features like adaptive binarization, despeckle filters, deskew feature, document rotation. Dark border removal, line removal, color dropout are available in a separate extension.

Text Recognition

Text Recognition

Standard version of IRISOCR™ sdk is available in 137+ languages, with various add-ons: Asian, Hebrew, Arabic, Banking Fonts, ICR.

Barcode Recognition

Barcode Recognition

Our barcode recognition module is able to recognize popular 1D barcodes such as code 39, code 128, EAN, UPC. A separate add-on provides for 2D barcodes decoding for the recognition of PDF417, QR code and data matrix.

Document output

Document output

Document output formats in standard IRISOCR™ sdk are: PDF, PDF/A, HTML, XML, RTF, TXT, ODT, WordML, SpreadsheetML, CSV, DOCX, XLSX and XPS. An additional compression module generates compressed files using our iHQC technology in PDF and XPS.

30+ years experience in OCR technologies

  • We own all the intellectual property of our technologies
  • We provide long-term support
  • We are cross-platform (Windows, OS X, Linux®, iOS, Android)
  • We can adapt our software to meet the standards of any OS or platform (ex. MFPs)
  • We offer simple integration (both for the integrator and the user)
  • We have many different ways/proposals to do OEM
  • We provide very quick and easy deployments to highly demanding integrations

They trust us

Adobe Acrobat

Adobe Acrobat

Under the hood digital transformation In 2006 Adobe became a partner of IRIS, which is one of the key enablers by turning scanned documents into searchable and editable PDFs. Millions of Customers worldwide are using every day Adobe Acrobat with the IRISOCR™ sdk technology of IRIS.

Webinar : Easy Integration of IRISOCR™ sdk

Thanks the new technologies based on neural networks, IRISOCR sdk’s engine is super-fast achieving unparalleled high quality OCR results all this with an easy integration.

All Webinars

Evernote helps people work more effectively by creating a single workspace for all their daily tasks. Digitizing documents and written notes is often an integral part of that. With IRIS‘s best-of-breed OCR engine, we‘re able to more quickly and accurately extract text from those images, making them instantly searchable and accessible, across devices, at work, home or on the go.

Dave Engberg CTO Evernote