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

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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.

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11月2日
  1. Maycur News
    How should electronic vouchers be archived after AI recognition? Meike Archives discusses original files, structured data, and review audit trails

    Meike Archives proposes that archiving electronic vouchers after AI recognition requires linking original files, structured data, verification results, manual corrections, and bookkeeping records into a traceable chain, rather than only saving recognized fields. Enterprises should record parsing rule versions, values before and after correction, and review positions, and use desensitized samples covering scenarios such as missing fields and duplicate uploads to accept the end-to-end process. Caihui [2025] No. 9 requires full-process tracking and verification of structured data processing for electronic vouchers.