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.
Invitation LetterTOA CORPORATION
1 field · learned from 5 examples
Invitation LetterTamurakoma & Co., Ltd.
9 fields · learned from 3 examples
Invitation LetterTAISEI CORPORATION
15 fields · learned from 6 examples
Invitation LetterSanyo Engineering & Construction Branch office
14 fields · learned from 9 examples
Invitation LetterNippon Signal Company Limited
10 fields · learned from 22 examples
Invitation LetterNippon Koei Bangladesh
7 fields · learned from 3 examples
Invitation LetterMN Inter-Fashion Ltd. (Nippon Steel Trade Corporation)
5 fields · learned from 2 examples
Invitation LetterMIURA BANGLADESH CO., LTD
10 fields · learned from 3 examples
Invitation LetterKUSUHARA QAMAR NAZ (Bangladesh) Ltd.
8 fields · learned from 2 examples
Invitation LetterInternational Manpower Development Organization (IM) Japan
6 fields · learned from 3 examples
Invitation LetterHANKYU HANSHIN EXPRESS Co.,Ltd
1 field · learned from 2 examples
Invitation LetterCMSS Consulting Ltd
4 fields · learned from 2 examples
Invitation LetterBlue Asian Foods Limited
10 fields · learned from 3 examples
Invitation letterALSOK Bangladesh Security Services Ltd
13 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.