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.
Auditor opinion letterMIURA SINGAPORE CO Pte. Ltd
15 fields · learned from 2 examples
i. Declaration for disposal of assetsKAJIMA CORPORATION)
8 fields · learned from 2 examples
Application for Non-Repatriation of Remaining BalanceKAJIMA CORPORATION)
9 fields · learned from 2 examples
Certificate of all dues SettlementKAJIMA CORPORATION)
11 fields · learned from 2 examples
NOC OF House ownerKAJIMA CORPORATION)
8 fields · learned from 4 examples
BIN Cancellation ApplicationMORIRIN CO., LTD.
7 fields · learned from 2 examples
TIN Cancellation ApplicationMORIRIN CO., LTD.
4 fields · learned from 2 examples
Application for Bank Account ClosingMORIRIN CO., LTD.
7 fields · learned from 2 examples
Application to Bangladesh BankMORIRIN CO., LTD.
8 fields · learned from 2 examples
All dues Settlement certificateMORIRIN CO., LTD.
6 fields · learned from 2 examples
Board ResolutionMORIRIN CO., LTD.
12 fields · learned from 2 examples
Application to Bangladesh BankMIURA SINGAPORE CO Pte. Ltd
4 fields · 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.