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音频转写

将音频转换为准确、易读的文本。上传 MP3、WAV、M4A、WebM、OGG、FLAC 或 MP4(最大 25 MB)— 由 OpenAI Whisper 提供支持。自动检测 50 多种语言;支持会议、采访、播客、讲座和语音备忘录。

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Audio Transcriber turns spoken-word recordings into clean, readable text using OpenAI Whisper. Upload a meeting, interview, podcast, lecture, or voice memo in MP3, WAV, M4A, WebM, OGG, FLAC, or MP4 format and get an accurate transcript you can copy or download. Language is detected automatically across dozens of languages, making it ideal for journalists, students, podcasters, and anyone who needs a fast written record of audio.

将音频文件拖到此处
或点击浏览 — MP3、WAV、M4A、WebM、OGG、FLAC、MP4,最大 25 MB
Recommended for long inputs (>60s). You'll get a link as soon as it's ready.
自由职业者

30秒语音备忘录

快速语音备忘 → 可搜索文本,便于个人记录。

查看输入和输出预览

输入

file
voice-memo-2026-05-14.m4a (28s)
language
en
speaker_labels
no
timestamps
no

输出(节选)

好的,明天的客户电话——我需要提取 Q2 报告、从 Figma 获取新的定价层模型,并检查 Stripe webhook 是否真的在测试收费时触发。另外,别忘了在上午 9 点前把 SOC2 检查清单发送给 Maria——她说她在供应商问卷上卡住了。
营销人员

带时间戳的播客片段

播客片段 → 可引用的文字稿,适用于新闻通讯或博客。

查看输入和输出预览

输入

file
lex-friedman-altman-clip.mp3 (4m 12s)
language
en
speaker_labels
yes
timestamps
yes

输出(节选)

[00:00] 主持人: …那么,当你说‘AGI’时,你今年采用的定义是什么?
[00:09] 嘉宾: 一个系统能够像称职的专业人士一样完成大多数知识工作,端到端,包括需要品味和判断的部分。
[00:24] 主持人: 与两年前相比,这个定义相当紧凑。
[00:30] 嘉宾: 对。两年前我会更多谈论通用性。现在我认为可营销、实用的测试是经济性的——你能把工作交给它吗?
[00:50] 主持人: 那我们现在有多接近?
小型企业

团队会议 → 行动项

异步站会 → 可分配的全团队行动清单。

查看输入和输出预览

输入

file
weekly-standup-2026-05-19.mp3 (18m)
language
en
speaker_labels
yes
timestamps
no
post_process
extract_action_items

输出(节选)

摘要:Q3 路线图已敲定;分析重构推迟至八月;招聘冻结至 A 轮融资结束。

行动项:
- Sara:在周三前将修订后的 Q3 路线图发送给投资者。
- Tomas:调研新的分析仓库选择(Snowflake 与 ClickHouse)——在 5 月 26 日前完成文稿。
- Priya:为 #general 起草招聘暂停的沟通稿,截止时间为周一下班前。
- Marcus:与计费工程师确认 Stripe 门户的上线日期。
- 未决问题:我们是在定价重新发布前还是后终止 v1 推荐流程?

Your 音频转写 results will appear here

You'll get plain-text transcript or an inline audio player (depends on the tool).

如何使用 音频转写

  1. Click upload and select your audio file (MP3, WAV, M4A, WebM, OGG, FLAC, or MP4, up to 25 MB).
  2. Start the transcription and wait a few seconds while Whisper processes the audio.
  3. Review the returned transcript on screen.
  4. Copy the text or download it for use in your notes, captions, or documents.

使用案例

1

Transcribe a recorded interview into quotable text for an article

2

Turn a lecture or webinar recording into study notes

3

Get a written record of a voice memo you dictated on your phone

4

Caption a podcast episode by transcribing the raw audio

5

Create a searchable text record of a customer call

最佳结果的技巧

  • Record in a quiet space and keep the microphone close to the speaker for the cleanest transcript.
  • If a recording is longer than 25 MB, split it into shorter segments and transcribe each one.
  • Convert lossless formats to MP3 to fit more minutes under the size limit without hurting accuracy much.
  • Proofread names, jargon, and numbers, since these are the words most likely to need a small correction.

常见问题

What does Audio Transcriber do?

It converts a spoken-audio file into written text. You upload a recording and it returns a transcript that keeps the original language, which you can then copy or download.

Which audio formats and file size can I upload?

It accepts MP3, WAV, M4A, WebM, OGG, FLAC, and MP4 files up to 25 MB. For longer recordings, trim or split the file so each part stays under the limit.

Do I need to choose the language first?

No. Whisper detects the spoken language automatically across dozens of languages, so you can upload without setting anything. The transcript comes back in the same language that was spoken.

How accurate is the transcription?

Accuracy is high for clear speech with little background noise. Heavy accents, crosstalk, music, or poor recording quality can introduce errors, so a quick proofread is worth it for important documents.

Can I use the transcripts commercially?

Yes. You own the transcript output and can use it in articles, captions, notes, or client work. Free covers 5 transcriptions per day with no signup; Pro is $19/month for higher volume.

What happens to my uploaded audio?

Your file is processed only to produce the transcript and is then discarded. We do not keep your recordings or use them to train models.

Does it add timestamps or speaker labels?

The output is a continuous text transcript focused on the spoken words. It does not split text by speaker; for clean results, upload audio with one clear primary speaker where possible.

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✍️ Prompt Library

Ready-to-use prompts — click "Use This" to auto-fill the tool

Describe what you want to achieve with this tool and include any relevant details.

Provide context about your audience, tone, and any specific requirements.

List the key points or features you want this tool to address.

Specify any constraints such as word count, format, or style guidelines.

Share any examples or references that might help get better results.

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相关工作流

Podcast → Tweet ThreadUpload a podcast audio file → transcribe → ship a 7-tweet thread + hashtag pack.运行工作流 →

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