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Openai Whisper Api

通过 curl/sh 脚本调用 OpenAI /v1/audio/transcriptions 接口，把 mp3、m4a、wav 等音频转写为文本，可选用 gpt-4o-transcribe、mini、diarize 或 whisper-1 模型，并支持 --language、--prompt、--json 等参数；需自备 OPENAI_API_KEY，核心转写脚本未随包提供。

分类：效率
hillstreet-ph
热度 38.92
最近更新 2026-11-07 14:51:52

安装

发给 Agent
帮我安装这个技能：npx secure-skills-cli add hillstreet-ph/oc-openai-whisper-api
兼容性
通用兼容
联网要求
需要联网
数据出网
必须出网
Metadata
name
openai-whisper-api
description
OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
homepage
https://platform.openai.com/docs/guides/speech-to-text
metadata
{"openclaw":{"emoji":"🌐","requires":{"bins":["curl","node"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY","install":[{"id":"brew","kind":"brew","formula":"curl","bins":["curl"],"label":"Install curl (brew)"}]}}

OpenAI transcriptions API

Transcribe audio through /v1/audio/transcriptions. Set OPENAI_BASE_URL for an OpenAI-compatible proxy or local gateway.

Quick start

{baseDir}/scripts/transcribe.sh /path/to/audio.m4a

Defaults:

  • Model: gpt-4o-transcribe
  • Output: <input>.txt

Useful flags

{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model gpt-4o-transcribe --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model gpt-4o-mini-transcribe
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model gpt-4o-transcribe-diarize --json
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json

Notes:

  • Supported upload formats include mp3, mp4, mpeg, mpga, m4a, wav, webm.
  • 25 MB upload limit on the hosted API.
  • Use diarize for speaker labels; script sends chunking_strategy=auto and rejects --prompt.

API key

Set OPENAI_API_KEY, or configure it in the active OpenClaw config file ($OPENCLAW_CONFIG_PATH, default ~/.openclaw/openclaw.json). Optionally set OPENAI_BASE_URL:

{
  skills: {
    "openai-whisper-api": {
      apiKey: "OPENAI_KEY_HERE",
    },
  },
}