Extractwise

The challenge

Every business sits on a pile of unstructured documents — invoices, contracts, forms, statements — in formats and languages no two of which agree. Getting clean, structured data out of them usually means brittle templates or armies of people doing manual entry.

We wanted a system where you hand over a messy document and get back trustworthy structured data, regardless of layout or language.

Our approach

Extractwise is an ML extraction pipeline built for volume and accuracy:

• Documents in, structured JSON out — with a confidence score on every field.
• Multilingual by design: the same pipeline handles 40+ languages without per-language templates.
• API-first and batch-capable, so it drops into existing data flows.

The result

Teams replace manual entry with a pipeline that extracts at scale and flags low-confidence fields for review instead of guessing. The extraction engine behind it is the same one we offer as a service to clients with their own document problems.