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Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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| name | openai-whisper-api |
| description | Transcribe audio via OpenAI Audio Transcriptions API (Whisper). |
| homepage | https://platform.openai.com/docs/guides/speech-to-text |
| metadata | {"emoji":"🌐","requires":{"bins":["curl"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY"} |
Transcribe an audio file via OpenAI's /v1/audio/transcriptions endpoint. Set OPENAI_BASE_URL to use an OpenAI-compatible proxy or local gateway.
curl -sS "https://api.openai.com/v1/audio/transcriptions" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-F "file=@/path/to/audio.m4a" \
-F "model=whisper-1" \
-F "response_format=text" \
> transcript.txt
Defaults:
whisper-1text# With language hint
curl -sS "https://api.openai.com/v1/audio/transcriptions" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-F "file=@audio.ogg" \
-F "model=whisper-1" \
-F "response_format=text" \
-F "language=en" \
> transcript.txt
# With speaker hint (prompt)
curl -sS "https://api.openai.com/v1/audio/transcriptions" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-F "file=@audio.m4a" \
-F "model=whisper-1" \
-F "response_format=text" \
-F "prompt=Speaker names: Peter, Daniel" \
> transcript.txt
# JSON output
curl -sS "https://api.openai.com/v1/audio/transcriptions" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-F "file=@audio.m4a" \
-F "model=whisper-1" \
-F "response_format=json" \
> transcript.json
Set OPENAI_BASE_URL to use an OpenAI-compatible proxy or local gateway:
API_BASE="${OPENAI_BASE_URL:-https://api.openai.com/v1}"
curl -sS "${API_BASE}/audio/transcriptions" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-F "file=@audio.m4a" \
-F "model=whisper-1" \
-F "response_format=text" \
> transcript.txt
Set OPENAI_API_KEY environment variable before running commands.