Straight Through Processing - Document Automation OCR Designed for Intelligent Capture The previous example isn’t just representative of custom projects that use off-the-shelf OCR tools. Intelligent Capture solutions can have the same problems for the same reasons. While these solutions offer a bevy of functions designed to improve accuracy and validate the data, the same unreliability problems of confidence scores remain. That is where a special breed of OCR can help. Designed for data fields and not for page-level results, special-purpose OCR is built to work with specific data on a page, each with a particular data type, and each with its own range of potential values and business requirements. All this additional information is used during the data field recognition process, not after. This type of specializedOCR is trained on specific datatypes to not only provide high levels of accuracy, but to also output confidence scores that are reliable at a data field level. This means that with enough analysis, very stringent thresholds can be identified and used to control output. This ensures that only suspect data is reviewed, leaving the bulk of accurate data to pass straight into business workflows and applications. Banks all over the world use Parascript software because of both its accuracy and reliability. This results in over 90% costreductions. Can organizations enjoy automation with off-the-shelf OCR? Sure. But if the ultimate goal is to achieve high levels of automation without the need for manual intervention, OCR tools fall well short. Practical Steps for a PoC to Assess STP In the next section, there arepractical steps for conducting a Proof of Concept (PoC) as guidance on assessing the straight through processing (STP) potentialof any intelligent capture system. The main value provided byintelligentcapture software is the ability to extract as much unstructured, document-oriented information as possible at the highest levels of accuracy. So while the user experience and operational management capabilities are alsoimportant, if the software fails to deliver high levels of accurate data, then you might as well stay witha manual process. When we need to accuratelymeasure a system, we need good test data with which to observe systemperformance. This is called “ground truth data.” 35