LaunchKit · 2026
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venice-transcribe

Transcribe audio to text using Venice AI's Whisper-based speech recognition.

0
501 downloads
by @sabrinaaquino

Setup & Installation

openclaw skills install @sabrinaaquino/venice-transcribe

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install venice-transcribe

Version History

v2.0.2Feb 20, 2026 - Version note by skill developer:

Re-publish to refresh scan

What This Skill Does

Complete toolkit for the Venice AI API, covering image generation, video, audio transcription, text-to-speech, embeddings, and account admin. All inference runs with zero data retention and no training on your data.

Venice AI processes requests without logging or training on your data, making it a privacy-preserving alternative to mainstream inference APIs.

When to use it

  • Transcribing recorded interviews or podcasts to text
  • Generating images from text prompts for mockups or content
  • Converting written scripts to speech in multiple voices
  • Removing backgrounds from product or portrait photos
  • Building vector embeddings for RAG pipelines

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Transcribe this recorded interview in Spanish

AGENT
  1. 1Accepts the audio file path from the user
  2. 2Runs transcribe.py with the --file and --language es flags against the Venice API
  3. 3Receives JSON response with transcribed text and optional timestamps
  4. 4Saves output to a text file with --output
OUTPUT

Full text transcript of the interview in Spanish, saved to the specified file

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

VENICE_API_KEY environment variable (obtain from venice.ai Settings → API Keys)