openai-whisper-1-0-0Local speech-to-text with the Whisper CLI (no API key).
Install via ClawdBot CLI:
clawdbot install czubi1928/openai-whisper-1-0-0Install OpenAI Whisper (brew):
brew install openai-whisperRequires:
Use whisper to transcribe audio locally.
Quick start
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .whisper /path/audio.m4a --task translate --output_format srtNotes
~/.cache/whisper on first run.--model defaults to turbo on this install.Generated Mar 1, 2026
Local transcription of podcast episodes for content creators to generate text versions for accessibility, SEO, and repurposing into articles or social media posts. This avoids API costs and ensures privacy for sensitive interviews.
Transcribing recorded business meetings to create accurate minutes for documentation, compliance, and team alignment. Useful for remote teams or legal firms needing offline processing of confidential discussions.
Translating and transcribing lecture recordings or educational videos into multiple languages for e-learning platforms. Enables broader accessibility and content adaptation without relying on cloud services.
Transcribing doctor-patient audio recordings for medical notes and records in clinics with limited internet access. Helps maintain patient privacy by keeping data local and reducing transcription costs.
Converting recorded customer support calls into text for analysis of common issues, sentiment, and training purposes. Allows businesses to process large volumes of calls offline for insights.
Offer a free tier with basic transcription using smaller models, and charge for premium features like larger models, batch processing, or integrations with cloud storage. Targets small businesses and individual creators.
Sell licenses to corporations for on-premise deployment, providing high-volume transcription with custom models and support. Focuses on industries like legal, healthcare, and media requiring data sovereignty.
Wrap the Whisper CLI into a managed API service, charging per minute of audio processed. Differentiate with added features like real-time transcription, multi-language support, and analytics dashboards.
💬 Integration Tip
Ensure the Whisper CLI is installed and models are cached locally for offline use; integrate with file management systems to automate audio input and output handling.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
End-to-end encrypted agent-to-agent private messaging via Moltbook dead drops. Use when agents need to communicate privately, exchange secrets, or coordinate without human visibility.
Text-to-speech via OpenAI Audio Speech API.