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 for VAT OfficeAI SAMURAI JAPAN Limited
5 fields · learned from 4 examples
অঙ্গীকারনামাAI SAMURAI JAPAN Limited
4 fields · learned from 2 examples
Application to VATYurtec
8 fields · learned from 3 examples
Application to VATTAISEI CORPORATION
1 field · learned from 2 examples
Mushak 2.5JGC Corporation
1 field · learned from 2 examples
Application to VATJGC Corporation
1 field · learned from 2 examples
Application to VATFUJITA CORPORATION
1 field · learned from 2 examples
Mushak 2.5FUJITA CORPORATION
4 fields · learned from 2 examples
Forwarding letter for VAT OfficeFUJITA CORPORATION
8 fields · learned from 2 examples
Mushak 2.5COLGIS BD Ltd
5 fields · learned from 2 examples
Application to VAT OfficeCOLGIS BD Ltd
10 fields · learned from 2 examples
Mushak 2.5AI SAMURAI JAPAN Limited
4 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.