Everything here is rule-based: values are substituted into your own approved file, and every finding is proved from the text itself. The same input always gives the same result.
What it has learned here, and teaching it a new type from approved examples.
Powerofattorny FinalNippon Signal Company Limited
12 fields · learned from 2 examples
Acceptance of resignationJGC Corporation
6 fields · learned from 2 examples
POWER OF ATTORNEYJGC Corporation
8 fields · learned from 2 examples
Application for Address and Trade License Representative ChangeJGC Corporation
10 fields · learned from 2 examples
Application for Trade License RenewYurtec
7 fields · learned from 2 examples
Trade License VAT ChallanYurtec
9 fields · learned from 2 examples
Trade License TDS ChallanYurtec
7 fields · learned from 2 examples
Declaration for Trade License RepresentativeMETRO COMPUTER BANGLADESH Co., Ltd
3 fields · learned from 2 examples
PowerofattornyCMSS Consulting Ltd
10 fields · learned from 3 examples
Declaration for Trade licenseCMSS Consulting Ltd
7 fields · learned from 3 examples
Justification for AmendmentBengal IRIS TAKUMI LTD
4 fields · learned from 2 examples
Trade LicenceBangladesh Japan (BJCC)
8 fields · learned from 3 examples
Pick two or more approved documents of the same kind that differ only in their details — three notices for different shareholders, say. Comparing them shows which parts are the format and which are the facts. The first one you tick is the base, and every draft is built from that exact file, so drafts keep its letterhead and layout.