The second factor to consider for a successful digital transformation that includes documents with handprint are the security requirements of your organization or industry. Are there security requirements specific to accessing or integrating with public cloud applications?

On the other hand,  DataGeometry IDP’s out-of-the-box ICR engine can be installed on-premises or leveraged in a private cloud.  here is no need to send sensitive information or customer data outside of your organization’s network and firewalls to take advantage of the rich capabilities of ICR.

DG IDP utilizes Key-Value (or KV) pairs to identify and extract information from unstructured documents. This means the application looks for a particular pattern of text representing the key, and then finds the corresponding value based on the desired extraction field value’s relationship to the key. This approach eliminates the need to configure document type templates to extract data and can be applied to handprint data.

This also means that DG IDP has the ability to find a snippet of handprint text on a page using that KV pair logic and send it out to a third party ICR engine in the cloud or otherwise, to pull back that converted value. One note about using a third party ICR engine is that there could be an additional cost associated with that vendor’s tool. Many ICR providers charge on a per  field-basis.

However, with DG IDP, the ICR engine is embedded in the product, so there is no additional cost to you or  our clients for using handprint extraction, either on a per field or per page basis.

The fourth factor for a successful digital transformation project where handprint and handwriting are involved is interacting with and managing documents with signatures. Signature detection can be a manually intensive, time-consuming step that slows application processing across all industries.

Take the oil & gas industry, for example. The Inspection & Maintenance form is typically a part of a large packet of servicing documents that range in page length and complexity. Validating that any reviewer and approver have signed is crucial. But when a human being enters the mix, they spend time flipping through pages to find that one field and give the packet the green light. Automating this step saves time and therefore money in expediting the approval process.

Lastly, just make sure you understand whether relevant data is machine printed, handwritten, presented with optical marks like checkboxes or radio toggles, or in some combination thereof. We often have project requests where a company or agency wants to have every field on a form or piece of information on a document extracted.

But when we ask why… when we ask about the purpose of the information downstream, there is no answer. Limiting the scope of your project to include relevant data only whether that data is a signature on a contract, a checkbox on a form, machine or handprinted piece of information and your project timeline and cost of implementation will benefit.