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  "text": "一場會最浪費時間的部分,可能是散會以後重新找誰答應了什麼。錄音有了,轉寫也有了,可如果行動項還要人工抄,會議助手其實只完成了一半,那剩下的一半該怎麼補上。\n米提利給的答案,不是再造一份更長的逐字稿,而是把本地錄音,實時轉寫,會議總結和行動項串在同一個桌面應用裡。這樣少掉的是在多個工具之間搬運文本,也少掉了最容易遺漏上下文的那一步。可會議越重要,數據去了哪裡就越不能含糊。\n來把邊界說清。官方資料寫明，錄音、轉寫模型和轉寫文件可以留在設備裡，實時識別使用 Whisper 或 Paralect。但摘要模型可以選本地的 Ollama，也可以選 Claude、Grok 或其他遠程接口。敏感會議想把整條鏈路留在本機，不能只看本地轉寫四個字，還要把摘要模型一起選對。邊界確認了，下一步才是上手。\n第一次別拿最重要的會議開刀。Windows 和蘋果電腦可以從項目發布頁下載，Linux 目前更適合按源碼構建。打開以後，先檢查麥克風和系統音頻，再選語言和模型。用三分鐘短錄音故意說出一個日期，一個人名和兩條代辦。結束後核對轉寫摘要和存儲位置。下面先看官方演示裡錄音怎樣變成實時文字。\n剛才這段能看見,文字會按時間持續進入同一個會議頁面,但實時轉寫只是入口。錄音結束後,官方演示把原文放在左邊,把摘要、關鍵決定和行動項放在右邊。對項目會和客戶訪談來說,價值就在這裡。你不必從零整理,只要回到原文核對責任人、日期和金額。那如果手裡已經有舊錄音呢,他還留了第二個入口。\n錄音檔不用觸犯給麥克風聽。米提利支持直接導入文件，選擇保留原語言，或者翻譯成英文，再指定轉寫模型。應用會分段處理，完成後仍然進入轉寫和總結頁面。下面這段官方演示，注意看拖入文件，選擇語言和分段進度這三個動作。\n對，它更適合經常開項目會，做客戶訪談，或者需要處理歷史錄音的人。也適合不方便把整段音頻交給雲端的團隊。但它仍是預發布項目。官方演示不能替代你自己的中文、口音和常會議測試。說話人區分也不該當作社區版已經完整具備的能力。\n正式使用前，保留原始錄音，獲得錄音同意，並對關鍵結論做人工複核。\n米提利最實用的地方,不是讓人徹底不用記筆記,而是把散會後的查找和搬運先壓縮掉。找一段三分鐘的公開音頻,跑完,導入,轉寫,總結和核對,你就能判斷它是否適合自己。會議助手真正該省下的,是讓工作重新啟動的時間。\n這裡是智聲工坊,關注我,繼續分享真正能落地的人工智能工具。",
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      "text": "第一次別拿最重要的會議開刀。Windows 和蘋果電腦可以從項目發布頁下載，Linux 目前更適合按源碼構建。打開以後，先檢查麥克風和系統音頻，再選語言和模型。用三分鐘短錄音故意說出一個日期，一個人名和兩條代辦。結束後核對轉寫摘要和存儲位置。下面先看官方演示裡錄音怎樣變成實時文字。",
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      "text": "剛才這段能看見,文字會按時間持續進入同一個會議頁面,但實時轉寫只是入口。錄音結束後,官方演示把原文放在左邊,把摘要、關鍵決定和行動項放在右邊。對項目會和客戶訪談來說,價值就在這裡。你不必從零整理,只要回到原文核對責任人、日期和金額。那如果手裡已經有舊錄音呢,他還留了第二個入口。",
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      "text_original": "錄音頻不用觸犯給麥克風聽。米提利支持直接導入文件,選擇保留原語言,或者翻譯成英文,再指定轉寫模型。應用會分段處理,完成後仍然進入轉寫和總結頁面。下面這段官方演示,注意看拖入文件,選擇語言和分段進度這三個動作。",
      "correction_applied": true,
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    {
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      "text": "對，它更適合經常開項目會，做客戶訪談，或者需要處理歷史錄音的人。也適合不方便把整段音頻交給雲端的團隊。但它仍是預發布項目。官方演示不能替代你自己的中文、口音和常會議測試。說話人區分也不該當作社區版已經完整具備的能力。",
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      "text_original": "對,他更適合經常開項目會,做客戶訪談,或者需要處理歷史錄音的人。也適合不方便把整段音頻交給雲端的團隊。但他仍是預發布項目。官方演示不能替代你自己的中文、口音和常會議測試。說話人區分也不該當作社區版已經完整具備的能力。",
      "correction_applied": true,
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    {
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      "text": "正式使用前，保留原始錄音，獲得錄音同意，並對關鍵結論做人工複核。",
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      "text_original": "正式使用前,保留原始錄音,獲得錄音同意,並對關鍵結論做人工復合。",
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    {
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      "text": "米提利最實用的地方,不是讓人徹底不用記筆記,而是把散會後的查找和搬運先壓縮掉。找一段三分鐘的公開音頻,跑完,導入,轉寫,總結和核對,你就能判斷它是否適合自己。會議助手真正該省下的,是讓工作重新啟動的時間。",
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    {
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      "text": "這裡是智聲工坊,關注我,繼續分享真正能落地的人工智能工具。",
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