Deterministic extraction from financial PDFs without the hallucinations
How we replaced a chain of LLM calls with a small, typed extraction pipeline — and shipped 99.4% field accuracy on 10-K filings.
Engineering deep-dives, research, and product changelogs from the HyperAPI team.
How we replaced a chain of LLM calls with a small, typed extraction pipeline — and shipped 99.4% field accuracy on 10-K filings.
Why we treat customer-supplied JSON schemas as the source of truth for parsing, classification, and validation in a single round-trip.
A field guide to handling 1,400+ statement templates without a per-bank model. Spoiler: the trick is in the layout features, not the text.
One endpoint. Any document. Returns a typed label plus a calibrated confidence — generally available today.
A walkthrough: from a stack of borrower PDFs to a structured underwriting dataset in under 60 lines of TypeScript.
Streaming Extract responses, Python SDK v2, sub-second cold starts on Parse, and a quieter dashboard.