- May 3, 2011 -
NEW YORK – A2iA, the worldwide leading developer of tools for handwritten and machine printed text recognition, information extraction and intelligent classification of paper documents, announced enhancements to its comprehensive check-processing toolkit, A2iA CheckReader™
. Available in 23-country versions and 6-languages, and trusted worldwide to process hundreds-of-
millions of checks each year, this set of intelligent recognition engines is currently deployed within teller applications, branch capture, merchant applications, fraud detection, image-enabled ATMs, centralized and de-centralized capture, remittance, accounts receivable/payable applications, and image quality (IQA) / image usability (IUA) analysis solutions.
Since its founding in 1991, A2iA has dedicated its research and development to addressing the needs of today’s changing environment--
to foster the push toward automatic document processing. With the end user in mind, A2iA continues to develop its core recognition engines to provide operative solutions for complex data extraction and advanced classification of all forms documents and checks.
By providing software applications with the ability to capture, in real-time, data from all points on checks and key fields on related payment documents, A2iA CheckReader improves process automation and helps fight fraud while enhancing customer relationship management (CRM) data and the organization’
s ability to create a central knowledge repository. In its latest release, A2iA CheckReader boasts enhanced recognition and image quality analysis.
* New features for U.S. Financial Documents and other country-versions include:
- New OCR available for the recognition of old fashioned, handwritten numbers.
- Codeline recognition improvement.
* Brazilian Financial Documents:
- Payer and payee name recognition is now available.
- Improvement to CPF/CNPJ recognition rate, including the ability to recognize several accounts.
* French Financial Documents:
- Printed amount recognition improvement.
* Greek Financial Documents:
- Courtesy amount, date, check number and Account Number recognition is now available.
* Italian Financial Documents:
- Date recognition improvement.
* Malaysian Financial Documents:
- Stamped account recognition on back of checks is now available.
* New Caledonian Financial Documents:
- Endorsement detection is now available.
A2iA CheckReader is available for integration into front- and back-end bank operations software, image-enabled ATMs, branch or distributed capture, remittance, check cashing, accounting, online banking, point-of-sale, revenue cycle management, and proof operations. For more information, call +1 (917) 237-0390 or visit www.a2ia.com.
A2iA, Artificial Intelligence and Image Analysis (www.a2ia.com)
, is the worldwide leading developer of handwritten and machine printed text recognition, information extraction and intelligent document classification toolkits. By enhancing solutions from systems integrators and independent software vendors, A2iA allows complex and cursive data from all forms, documents and checks including unstructured handwritten letters, to become part of a structured database, making it searchable and reportable, with the same level of flexibility of printed or digital data. The company’s proprietary OCR, ICR and IWR toolkits do not contain any third-party technology and are available in 23-country versions and 6 languages. By operating the world’s largest research center focused on automatic document processing with a focus on handwritten and complex data, A2iA is able to address the needs of its users and be proactive in its developments. Proven to reduce costs and nearly eliminate data-entry and manual document processing, A2iA’s technology has been improving business process automation and providing a visible ROI for nearly 20 years. For more information, visit www.a2ia.com or call +1 917-237-0390 within the Americas, or +33 1 44 42 00 80 within EMEA or Asia.
TM) is a trademark of A2iA Corporation.
Director, Marketing Communications, North America
+1.917.237.0390 x 4034