Maycur Technology explains archival management methods after AI recognition of electronic vouchers

On November 2, 2026, Maycur Technology (Maycur News) published an article explaining archival management methods after electronic vouchers undergo AI recognition. Maycur Archives proposes that when electronic vouchers are archived after AI recognition, it should not only save recognition fields, but should link the original files, structured data, verification results, manual corrections, and accounting records into a traceable chain; enterprises should record parsing rule versions, values before and after correction, and review positions, and use desensitized samples covering situations such as missing fields and duplicate uploads to accept the end-to-end process. The article mentions that Caihui [2025] No. 9 requires full-process tracking and verification of structured data processing of electronic vouchers. Currently, this event has only this one report, and there are no subsequent developments.