Use cases

Document extraction

Contracts, invoices, policies and forms turned into fields your systems can read, with human review where it matters.

Behind almost every slow process there is somebody copying data from a PDF into a form. Extraction turns that document into structured fields and leaves the person the job that is actually theirs: reviewing what is doubtful, not typing what is obvious.

How it works

01

You define the fields

You say what you need out of each document type, with no rigid per-supplier templates.

02

The batch is processed

Fields are extracted, each with its confidence level and its location in the document.

03

Only what needs review gets it

Anything below the threshold goes to a person, the rest flows straight into your system.

Where it fits

The sectors where this one comes up most, and what it covers in each.

Frequently asked questions

Yes, with optical recognition first. Scan quality makes the difference, which is why every field arrives with its confidence level.

No. You define the fields you want and the model locates them, even when the layout changes between suppliers.

Every extracted field points back to its origin in the document, so reviewing means checking one spot, not rereading the whole thing.

Tell us what you want to deploy and we will show you where Inferana fits.

In the demo we go through your case: which models you need, where they run and what it takes to meet the regulation that applies to you.

We reply within one business day.