Document AI — supercomputer analysis and verification.

How does it work?

Get started by submitting a PDF of disparate forms.

For this example, we’ll take a simple title and registration deal from California. Document AI takes a look at each scanned form and analyzes them. Reporting back, you might get something like the following, for example:

For this example, we’ll take a simple title and registration deal from California. Document AI takes a look at each scanned form and analyzes them. Reporting back, you might get something like the following, for example:

• Page 1 – This is a California DMV REG 397, an Application for Registration of New Vehicle. This is a state-issued government form.
• Page 2 – This is a California DMV REG 4008, a Declaration of Gross Vehicle Weight (GVW)/Combined Gross Vehicle Weight (CGW). This is a state-issued government form.
• Page 3 – This is a Weightmaster Certificate. This form varies from company to company and is not issued by the state. Think of it as a kind of receipt.

What kind of forms are these?

Without knowing any details of the transaction, Document AI analyzes the documents returns that page 1 is a REG 397, page 2 is a REG 4008 and page 3 is a weightmaster certificate. Machine learning and artificial intelligence identify the forms.

What if I want the data?

Now, what about the data in your documents? If there is a date field, you want the date value. If there is a name field, you want the name entered. If there’s a dollar amount field, you want a numeric value. And that’s what Document AI actually does. It extracts the data from your scanned document images and returns exactly what is entered.

Think of it. You digitally submit a stack of scanned documents. Using machine learning and artificial intelligence, now you can ascertain what those documents actually are and what data is included on them.