'%20stroke-opacity='0.2'%20stroke-width='2'/%3e%3cpath%20d='M3.11592%2019.2884C1.75802%2014.0938%204.86823%208.78202%2010.0628%207.42412L31.7476%201.75552C33.7413%201.23434%2035.8588%201.49254%2037.6689%202.47756L45.1886%206.5697C47.5462%207.85267%2049.2684%2010.0533%2049.9473%2012.6501L57.5913%2041.8917C58.9492%2047.0862%2055.839%2052.398%2050.6444%2053.7559L23.9954%2060.7222C18.8008%2062.0801%2013.489%2058.9699%2012.1311%2053.7754L3.11592%2019.2884Z'%20stroke='url(%23paint1_linear_54018_1330)'%20stroke-width='4'/%3e%3cpath%20d='M3.1208%2019.2884C1.7629%2014.0938%204.87311%208.78202%2010.0677%207.42412L31.7524%201.75552C33.7462%201.23434%2035.8636%201.49254%2037.6737%202.47756L45.1935%206.5697C47.5511%207.85267%2049.2733%2010.0533%2049.9522%2012.6501L57.5962%2041.8917C58.9541%2047.0862%2055.8439%2052.398%2050.6493%2053.7559L24.0002%2060.7222C18.8057%2062.0801%2013.4939%2058.9699%2012.136%2053.7754L3.1208%2019.2884Z'%20fill='%235B5B5B'/%3e%3cpath%20d='M31.7516%201.75597C33.7454%201.23478%2035.8633%201.49203%2037.6734%202.47705L45.1931%206.5696C47.505%207.82776%2049.2028%209.96938%2049.9079%2012.5007L41.6862%2014.6499C38.2233%2015.5551%2034.6819%2013.4821%2033.7765%2010.0193L31.625%201.78906L31.7516%201.75597Z'%20fill='%23CEFFD2'%20fill-opacity='0.3'/%3e%3cpath%20d='M38.6744%2029.5512C40.6539%2030.0946%2041.3029%2032.5771%2039.8425%2034.0198L31.0802%2042.6757C29.6198%2044.1184%2027.1453%2043.4391%2026.6261%2041.4531L23.5111%2029.5367C22.9919%2027.5506%2024.8174%2025.7473%2026.7969%2026.2907L38.6744%2029.5512Z'%20fill='url(%23paint2_linear_54018_1330)'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_54018_1330'%20x1='14.2197'%20y1='34.6499'%20x2='62.8873'%20y2='40.1141'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23D6FB72'/%3e%3cstop%20offset='1'%20stop-color='%2376F9B1'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint1_linear_54018_1330'%20x1='7.62353'%20y1='36.5319'%20x2='55.4562'%20y2='29.4896'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23D6FB72'/%3e%3cstop%20offset='1'%20stop-color='%2376F9B1'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint2_linear_54018_1330'%20x1='30.5755'%20y1='24.9296'%20x2='32.6408'%20y2='42.908'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23D6FB72'/%3e%3cstop%20offset='1'%20stop-color='%2376F9B1'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e)
拖曳本地音頻／影片檔案至此處
'%20stroke='%232D2D33'%20stroke-width='3'/%3e%3cpath%20d='M9.86621%2012.8366L13.9744%208.91127L18.1435%2012.8976M13.8403%209.92308L13.9134%2019.0781'%20stroke='%232D2D33'%20stroke-width='3'%20stroke-linecap='round'%20stroke-linejoin='round'/%3e%3c/svg%3e)
上傳檔案只需幾個簡單步驟，即可完成 M4A 音訊轉寫與整理。
上傳 M4A 檔案
拖曳 M4A 音檔，或點擊「瀏覽」從裝置中選擇並上傳檔案。
取得逐字稿
系統會自動將 M4A 音訊轉成文字，並附上時間標記，必要時也可辨識不同說話者。
檢視與匯出
可直接編輯逐字稿內容，產生 AI 摘要，並將結果下載或分享。
專為提升 M4A 音訊轉寫的準確度與使用體驗而設計。
上傳 M4A 檔案後即刻開始轉寫，無需久候。文字內容附帶時間軸，方便快速定位音訊片段。
可選擇原始逐字稿或 AI 潤稿版本。AI 潤稿能提升語句流暢度，同時保留原始語意。
支援多種摘要風格，例如重點整理或會議紀要，幫助快速掌握長時間音訊的核心內容。
可直接在線編輯文字內容，並快速下載、複製或分享給同事與合作夥伴。
適用於各種需要將 M4A 音訊轉為可用文字的情境。
我常用 M4A 錄製訪談，這個工具能快速產出乾淨的逐字稿，對研究非常有幫助。
上傳 M4A 會議錄音後就能拿到附時間標記的逐字稿，真的替團隊省下很多時間。
AI 潤稿後的文字讓我能快速把音訊內容整理成可發佈的文章。
能即時轉寫 M4A 並匯出文字，完全符合我的 Podcast 製作流程。
關於 M4A 音訊轉文字的常見疑問。
