ACORD data extraction

It is often described as an OCR problem, which understates it. Converting pixels to text has been largely solved for years. The difficulty is everything after: identifying which ACORD form a page belongs to, knowing which fields on that form matter for the line of business, interpreting checkboxes and handwritten amendments, and producing values that satisfy the target system's schema and validation rules.

Fillable PDFs are a common trap. When a broker completes a fillable ACORD, the values may be stored in the PDF's form fields with no visible rendering on the page, so a naive text extraction returns a blank form. Handling that case requires reading the form-field layer as well as the page.

Confidence scoring is what makes extraction operationally safe. A system that returns values with no indication of how certain it is cannot be trusted in a rating workflow, because a wrong value is indistinguishable from a right one. Field-level confidence lets uncertain values be routed to a human instead of silently entering the system of record.