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 NBRYurtec
4 fields · learned from 3 examples
Application to NBRTAISEI CORPORATION
1 field · learned from 2 examples
Application to NBRSumitomo Mitsui Construction Co., Ltd
6 fields · learned from 2 examples
Application to NBRMurata Machinery
4 fields · learned from 2 examples
Application to NBRMIURA SINGAPORE CO Pte. Ltd
1 field · learned from 2 examples
Application to NBRJGC Corporation
1 field · learned from 2 examples
Application to NBRFUJITA CORPORATION
1 field · learned from 2 examples
Application to NBRCOLGIS BD Ltd
4 fields · learned from 2 examples
Cancellation TINCOLGIS BD Ltd
1 field · learned from 2 examples
Application to NBRAI SAMURAI JAPAN Limited
3 fields · learned from 2 examples
Application for TIN Address ChangeAI SAMURAI JAPAN Limited
5 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.