English 
PFUリミテッド has upgraded its AI-OCR software, “DynaEye Payroll Report OCR,” specialized for payroll payment reports, and will begin offering it in early December.
“DynaEye Payroll Report OCR” is AI-OCR software that automatically distinguishes between “summary sheets,” “separator sheets,” and “individual statements” contained in payroll payment reports and uses AI-OCR to recognize them with high accuracy. This latest upgrade provides two new applications, the “Verification and Correction App” and the “Output Conversion App,” that enable local governments to complete the entire process from checking and correcting documents to linking them to tax systems.
BPO業務を委託することが難しい自治体に加え、委託している自治体でも契約期間終了後に届く書類を手入力せざるを得ず、給与支払報告書処理は現場の大きな負担となっています。今回のアプリ追加により、書類の仕分け、枚数確認、手入力、確認・修正、税システム連携などを総合的にサポート。内製化を促進するとともに、アウトソーシング期間終了後の社内処理にも柔軟に対応し、紙ベース業務全般の効率化と従業員の負担軽減を実現します。
こちらもお読みください： リコージャパン、「コンストラクションシステム＆ヒストリーパック」を発売
また、他自治体から移管された低品質な帳票のスキャンにも対応しており、これまでOCRでの処理が困難とされていた帳票の自動処理も可能です。
In addition, we are offering a new license that allows you to use the individual statement reader, the “Verification and Correction App” and the “Output Conversion App” as a set. Because it is not a pay-per-use service, it is easy to manage the budget, and local governments can introduce it with confidence.
PFU has been realizing the “digitization of paper and document information” in various paper-based business processes through its image scanners, which hold the world’s No. 1 market share, and its proprietary OCR technology. With the release of this upgraded version of “DynaEye Payroll Payment Report OCR,” the company will achieve operational efficiency improvements for even more customers than ever before, and will provide strong support for work style reforms and digital transformation in local governments.
近年、地方自治体は慢性的な人手不足に悩まされており、採用難や業務量の増加により、職員の長時間労働や業務負担が深刻化しています。また、自治体業務の電子化が進んでいるとはいえ、給与支払報告書は紙で提出されることが多く、書類の仕分けや枚数チェック、データ入力などの業務は職員の大きな負担となっています。
In particular, in municipalities where it is difficult to outsource to BPO providers, employees themselves are required to perform all tasks such as manual entry in addition to their regular work, and they are forced to spend a lot of time on unfamiliar, simple tasks with limited manpower.On the other hand, even in municipalities that outsource work to BPO companies, employees must process documents that arrive after the contract period has ended, resulting in a “hidden burden.”
このような状況から、繁忙期には残業が常態化し、ヒューマンエラーのリスクもあり、作業効率と正確性の両立が求められています。そのため、限られた人員でも効率的かつ正確にデータを処理できるシステムとして、AI-OCRを活用した内製化や内勤業務の効率化が注目されています。
ソース PRタイムズ
日本語