K8s Self Hosted Whisper Api

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name: self-hosted-whisper-api description: Transcribe audio via the self-hosted Whisper ASR instance running on Kubernetes. Use this skill whenever the user wants to transcribe audio files, convert speech to text, generate subtitles, or translate audio. Triggers on audio transcription, speech-to-text, whisper, voice-to-text, subtitle generation, or audio translation requests. version: 1.0.0 user-invocable: true metadata: {"openclaw": {"emoji": "🎙️", "requires": {"bins": ["curl"]}}}

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Self-Hosted Whisper API (curl)

Transcribe an audio file via the Whisper ASR webservice at http://whisper-asr.whisper-asr.svc.cluster.local:9000.

Uses the onerahmet/openai-whisper-asr-webservice API (/asr endpoint).

Quick start

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

Defaults:

Endpoint: http://whisper-asr.whisper-asr.svc.cluster.local:9000/asr

Task: transcribe

Output: txt

Useful flags

{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --language en --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language de
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --output srt --out /tmp/subtitles.srt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --output vtt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --translate
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --vad-filter --json
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --word-timestamps --json

Notes

Supported --output formats: txt, json, vtt, srt, tsv

--translate produces an English transcript regardless of source language

--vad-filter enables voice activity detection to skip silent sections

--word-timestamps adds word-level timing (use with --json)

The model is configured on the server side (ASR_MODEL env var), not per request

Swagger docs available at http://whisper-asr.whisper-asr.svc.cluster.local:9000/docs

No authentication required

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

Defaults:

Endpoint: http://whisper-asr.whisper-asr.svc.cluster.local:9000/asr

Task: transcribe

Output: txt

Supported --output formats: txt, json, vtt, srt, tsv

--translate produces an English transcript regardless of source language

--vad-filter enables voice activity detection to skip silent sections

--word-timestamps adds word-level timing (use with --json)

The model is configured on the server side (ASR_MODEL env var), not per request

Swagger docs available at http://whisper-asr.whisper-asr.svc.cluster.local:9000/docs

No authentication required