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.
Extract of Board ResolutionNICCA Chemical (Liaison Office)
21 fields · learned from 3 examples
Application for Closing Non-Operative Bank AccountMIURA BANGLADESH CO., LTD
8 fields · learned from 2 examples
Authorization LetterMETRO COMPUTER BANGLADESH Co., Ltd
1 field · learned from 3 examples
Declaration for Non-submission of BASIS CertificateMETRO COMPUTER BANGLADESH Co., Ltd
3 fields · learned from 2 examples
Declaration for Non-submission of Acknowledgement Receipt of TaxMETRO COMPUTER BANGLADESH Co., Ltd
11 fields · learned from 2 examples
Power of AttorneyBengal IRIS TAKUMI LTD
13 fields · learned from 2 examples
POA for Bank AccountTAISEI CORPORATION
13 fields · learned from 3 examples
Appendix H2 Declaration Beneficial Owner 10 PercentP.S. Mitsubishi Construction Co., Ltd
1 field · learned from 2 examples
Appendix H1 Declaration Beneficial Owner 25 Percent v4.1.1P.S. Mitsubishi Construction Co., Ltd
1 field · learned from 2 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.