Cross-check extracted values against what Registry already holds.
Extraction tells you what the document says. Verification means checking it against what Registry already holds. This guide shows you how to compare extracted values to existing records, turning a reading exercise into a genuine verification step that catches discrepancies before they reach approval.
Turn the pilot into an evidence-based decision on whether to scale.
Get the extracted data into the systems Registry actually works in.
Prove the accuracy on one document type before scaling to others.
Extract the document's fields with Nanonets.
Open the corresponding record in the Registry system.
Compare each extracted value against the recorded one.
Flag any mismatch — name spelling, dates, or numbers.
Investigate the mismatch before approving the case.
Record the verification outcome against the case.
You extract a passport for [shareholder name] and see: Extracted surname: [example surname A] Extracted given name: [example given name] Extracted date of birth: [example date] Extracted passport number: [example passport number] You open the Registry record for [target company] and find: Recorded surname: [example surname B] Recorded given name: [example given name] Recorded date of birth: [example date] Recorded passport number: [example passport number] The surname spelling differs. You flag the case, investigate, and discover the Registry record contains a historical typo. You correct the record, note the verification outcome, and approve the case.
Compare each extracted field against the corresponding Registry record, flag mismatches in names, dates, or numbers, and hold the case for investigation before approval.
Pull the key clauses and signatories out of a long document automatically.
Teach Nanonets the exact fields Registry needs from one document type.