AI document processing
A PDF is not data. As long as your contracts, invoices and forms stay as text to retype, they cost time and create errors. We build the pipeline that turns them into structured, checked and usable fields.
What you get
We start by defining what you expect on output: which fields, which formats, which validation rules. VAT number, net amount, due date, customer reference. Without that schema, extraction produces plausible but unverifiable text. With it, every value has a type, a constraint and a status.
The pipeline reads the document, identifies its type, extracts the fields and sends it to the right place. An invoice goes to accounting, a contract to your document store, a form to your database. OCR on scans, direct parsing on native PDFs, and a model that structures everything against the schema instead of guessing.
No extraction is 100 percent reliable. The right question is not how to avoid errors, but how to catch them. Every field gets a confidence score. Above the threshold it passes on its own. Below it, it goes to a person. You keep control where it matters, without re-reading what is already certain.
We do not promise perfection, we measure it. Before production, we test the pipeline on a sample of your real documents and quantify the error rate per field type. You know exactly where it is solid and where a review is needed. No black box, just numbers you can verify.
One call is enough to know whether the topic deserves a real project.
Scope a pipeline