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Speech To Text

Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation,...

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Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation,...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.5

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Speech-to-Text

Transcribe audio to text via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://audio.mp3"}' Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Available Models

ModelApp IDBest ForFast Whisper V3infsh/fast-whisper-large-v3Fast transcriptionWhisper V3 Largeinfsh/whisper-v3-largeHighest accuracy

Basic Transcription

infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://meeting.mp3"}'

With Timestamps

infsh app sample infsh/fast-whisper-large-v3 --save input.json # { # "audio_url": "https://podcast.mp3", # "timestamps": true # } infsh app run infsh/fast-whisper-large-v3 --input input.json

Translation (to English)

infsh app run infsh/whisper-v3-large --input '{ "audio_url": "https://french-audio.mp3", "task": "translate" }'

From Video

# Extract audio from video first infsh app run infsh/video-audio-extractor --input '{"video_url": "https://video.mp4"}' > audio.json # Transcribe the extracted audio infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "<audio-url>"}'

Workflow: Video Subtitles

# 1. Transcribe video audio infsh app run infsh/fast-whisper-large-v3 --input '{ "audio_url": "https://video.mp4", "timestamps": true }' > transcript.json # 2. Use transcript for captions infsh app run infsh/caption-videos --input '{ "video_url": "https://video.mp4", "captions": "<transcript-from-step-1>" }'

Supported Languages

Whisper supports 99+ languages including: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, and many more.

Use Cases

Meetings: Transcribe recordings Podcasts: Generate transcripts Subtitles: Create captions for videos Voice Notes: Convert to searchable text Interviews: Transcription for research Accessibility: Make audio content accessible

Output Format

Returns JSON with: text: Full transcription segments: Timestamped segments (if requested) language: Detected language

Related Skills

# Full platform skill (all 150+ apps) npx skills add inference-sh/skills@inference-sh # Text-to-speech (reverse direction) npx skills add inference-sh/skills@text-to-speech # Video generation (add captions) npx skills add inference-sh/skills@ai-video-generation # AI avatars (lipsync with transcripts) npx skills add inference-sh/skills@ai-avatar-video Browse all audio apps: infsh app list --category audio

Documentation

Running Apps - How to run apps via CLI Audio Transcription Example - Complete transcription guide Apps Overview - Understanding the app ecosystem

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc