- name
- any-whisper-api
- description
- Transcribe audio via API Whisper with any compatible local servers.
- homepage
- https://platform.openai.com/docs/guides/speech-to-text
- metadata
- {"clawdbot":{"emoji":"☁️","requires":{"bins":["curl"],"env":["WHISPER_API_KEY","WHISPER_API_HOST"]}}}
OpenAI Whisper API (curl)
Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint.
Quick start
{baseDir}/scripts/transcribe.sh /path/to/audio.m4aDefaults:
- Model:
whisper-1 - Output:
<input>.txt
Whisper.cpp example
/ai/whisper.cpp/build/bin/whisper-server -m /ai/models/whisper/ggml-large-v3-turbo-q8_0.bin --host 192.168.0.55 --port 5005 -sow --vad --vad-model /ai/models/whisper/ggml-silero-v6.2.0.bin --inference-path /v1/audio/transcriptions
Useful flags
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
{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.jsonAPI key
Set WHISPER_API_KEY and WHISPER_API_HOST, or configure it in ~/.clawdbot/clawdbot.json:
{
skills: {
"openai-whisper-api": {
apiKey: "WHISPER_API_KEY_HERE",
apiHost: "WHISPER_API_HOST_HERE"
}
}
}