Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Transcribe audio via the self-hosted Whisper ASR instance running on Kubernetes. Use this skill whenever the user wants to transcribe audio files, convert sp...
Transcribe audio via the self-hosted Whisper ASR instance running on Kubernetes. Use this skill whenever the user wants to transcribe audio files, convert sp...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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).
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a Defaults: Endpoint: http://whisper-asr.whisper-asr.svc.cluster.local:9000/asr Task: transcribe Output: txt
{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
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
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.