voice-replyLocal text-to-speech using Piper voices via sherpa-onnx. 100% offline, no API keys required. Use when user asks for a voice reply, audio response, spoken answer, or wants to hear something read aloud. Supports multiple languages including German (thorsten) and English (ryan) voices. Outputs Telegram-compatible voice notes with [[audio_as_voice]] tag.
Install via ClawdBot CLI:
clawdbot install stolot0mt0m/voice-replyGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
Deploy in regions with poor internet connectivity to provide voice-based customer support without cloud dependencies. Enables automated voice responses for FAQs or status updates, ensuring service continuity.
Integrate into language learning apps or e-learning platforms to generate spoken content locally, protecting user data. Useful for pronunciation guides or audio lessons in German and English.
Create a Telegram bot that sends voice alerts or reminders as voice bubbles, leveraging the offline TTS for real-time updates. Ideal for personal productivity or community announcements.
Use in accessibility tools to convert text to speech locally, offering immediate audio feedback without internet reliance. Supports multiple languages for broader user reach.
Embed in self-service kiosks or POS systems to provide voice instructions or promotions in German or English. Reduces cloud costs and latency in high-traffic environments.
Offer paid consulting or customization services for integrating the skill into specific applications, such as adding new voice models or optimizing for different OS environments. Revenue comes from one-time fees or retainer contracts.
Package the skill as part of a subscription-based software suite for enterprises needing offline TTS capabilities, with added features like analytics or multi-platform support. Revenue is generated through monthly or annual subscriptions.
License the skill to hardware manufacturers for integration into IoT devices like smart speakers or industrial monitors, enabling voice output without internet. Revenue comes from licensing fees per device sold.
💬 Integration Tip
Ensure environment variables are correctly set in deployment scripts and test voice model paths to avoid common installation errors.
Scored Apr 15, 2026
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.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.