Document-Processing

The Confidence Score Trap

Attaching a confidence score to every extracted field feels like a transparency win. Uncalibrated, it's worse than nothing — it launders uncertainty into a number users can't act on.

Absent vs. Unknown

When document extraction returns an empty field, there are two very different reasons. Collapsing them into a single null output is a design mistake that quietly destroys trust.

The Extraction Boundary

There's a line between what a document processing system can extract and what requires domain reasoning. Getting that line wrong in either direction is expensive.

The Large Document Problem

Document processing tools that work on short documents often break on long ones. Large-doc support needs to be a day-one requirement, not a later addition.

What the Citation Enables

An AI-extracted output without a source citation is a claim. The same output with a citation — page number, table, line — is auditable work product. The citation is what makes the output usable in professional contexts, not a nice-to-have.