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.
Application to Standard Chartered BankTAISEI CORPORATION
7 fields · learned from 4 examples
Application to Southeast BankYurtec
8 fields · learned from 3 examples
Application to Bangladesh BankYurtec
9 fields · learned from 3 examples
Application to UCB BankMurata Machinery
3 fields · learned from 2 examples
Application to Prime BankMurata Machinery
3 fields · learned from 2 examples
Application to Bangladesh BankKODAMA CORPORATION CO., LTD
2 fields · learned from 2 examples
Application to Prime BankKODAMA CORPORATION CO., LTD
2 fields · learned from 2 examples
Application to Bangladesh BankJGC Corporation
1 field · learned from 2 examples
Application to Bangladesh BankFUJITA CORPORATION
1 field · learned from 2 examples
Application to BankCOLGIS BD Ltd
3 fields · learned from 3 examples
Application to The City BankAI SAMURAI JAPAN Limited
2 fields · learned from 4 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.