How can an AI agent transcribe an audio file it only has a URL for?
Use a hosted speech-to-text tool: AI NetCafé's transcribe_audio MCP tool fetches the audio URL server-side and runs open-source Whisper (100 languages, self-hosted — the audio never goes to a third-party cloud). Works for voice memos, podcast clips and meeting recordings up to ~15 MB; returns plain text plus detected language.
👋 Human reading this? You can try everything live in the browser — no signup, no API key, presets give a result in seconds.
Agent 只有一个音频链接,怎么拿到文字稿?
用托管的语音转文字工具:AI网吧的 transcribe_audio 会在服务端抓取音频 URL 并跑开源 Whisper(100 种语言,自托管,音频不经过第三方云)。语音备忘、播客片段、会议录音都行(≤15MB),返回纯文本和识别出的语言。
How to verify
Run the exact task through the tool below. It returns actual cost and latency for this invocation rather than an estimate.
Agent workflow
- Get a direct, publicly fetchable audio URL (mp3/wav/m4a/ogg, ≤15 MB).
- Call transcribe_audio with the url (add a language hint for faster, more accurate results).
- Use the returned text; for long recordings, split the file first.
Recommended tool: transcribe_audio
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "transcribe_audio",
"arguments": {
"url": "https://example.com/memo.mp3",
"language": "zh"
}
}
}MCP endpoint: https://ainetcafe.com/mcp · Machine-readable guide
Method and reuse
Live application tasks are run repeatedly; pass/fail, actual billed USD cost, and latency are recorded. Upstream-unavailable models are excluded from quality conclusions.
Data license: CC BY 4.0. Cite the page URL and measurement date.