OCR converts scanned pages and images into text, and document AI goes further by understanding layout and extracting specific fields such as totals, dates and line items. We combine OCR with language models and validation rules so extracted data is accurate enough to post automatically, with exceptions sent to a person.
Scan it. Understand it.
A sample invoice being read and its fields extracted, ready for validation.
Built to hold up.
Invoice and receipt capture
Supplier, amounts, dates and line items extracted and matched to purchase orders.
Forms, IDs and contracts
Structured extraction from application forms, identity documents and contract clauses.
Handwriting and low-quality scans
Pre-processing and models chosen for messy real-world inputs, in multiple languages and scripts.
Validation and exceptions
Confidence scoring, cross-checks and a review screen so only uncertain items need a person.
Questions we often get.
On clean printed documents it is very high. Accuracy drops on poor scans and handwriting, so we measure it on your own documents and add validation and human review where it matters.
Have something that should run itself?
Tell us what is slowing your team down. We will come back within one working day with an honest view on whether it is worth building and what it would take.