iTech uses OCR paired machine learning, ML document mapping, or a combination of these processes to identify and classify images quickly. These images are automatically indexed using client indexing rules quickly and with greater accuracy than manual processes or OCR alone.

While manual processes may make sense for simple or one-time indexing projects or where reliable turnaround times are not a factor, iTech’s OCR paired machine learning technology eliminates the need for most manual intervention. Unlike OCR, where form structure is key to data capture, Machine Learning adds a layer of context to ensure accurate data capture no matter how unstructured the format. The results are always unmatched quality, fast turnaround times, and reduced operational and labor costs.

For more complex projects that require multiple lookups and reviews, iTech introduces Robotic Process Automation (RPA). RPA is used in conjunction with machine learning and replaces multiple manual processes. It performs these processes many times faster and eliminates human error and omissions.

iTech’s iClarify tool always gives organizations full control and visibility into the indexing, data capture, and RPA processes. On-demand metrics and analytics surrounding quality and turnaround eliminates the “black box” approach, often associated with outsourcing, and instead provide absolute transparency. You will always know where your documents and data are.