* Automatically detect and extract data from unstructured form types including invoices, bills, and tabs * Extract text and numerical data from tables, fields, and line items such as item number, description, quantity, price, and sub-total * Classify and process both single and multi-page invoices, even when a particular table spans across multiple pages * Extract text from fields with common headers such as Name, Address, Total, etc. even when the filled form doesn't match the master * Recognize and extract invoice fields regardless of image resolution, scale, and other invoice generation characteristics * Advanced invoice alignment algorithm compensates for non-linear deformations introduced by different scanners, printers, and resolutions * World-class accuracy and speed * Unique color and bitonal image recognition for scanned documents and pictures * Automatic detection and correction of page orientation and skew angle * Enhance recognition accuracy with powerful document cleanup and preprocessing * Use regular expressions to find and validate text * Organize invoices into categories and sub-categories * Comprehensive confidence reporting for each invoice field type * Load and save invoice identification information as XML for simplified storage and editing * Utilize LEADTOOLS Fast Twain to rapidly scan documents * Native 32 and 64-bit invoice recognition and processing binaries

* Iris SDK has been developed using the C/C++ programming language and offers a set of ready-to-use API functions. * Iris SDK Making it easy for developers to create applications in C/C++ languages. * The software is highly scalable for use in projects as large as national ID databases.