walkie-talkie-vigoHandles voice-to-voice conversations on WhatsApp. Automatically transcribes incoming audio and responds with local TTS audio. Use when the user wants to "talk" instead of type.
Install via ClawdBot CLI:
clawdbot install rubenfb23/walkie-talkie-vigoGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Enables businesses to handle customer inquiries via voice messages on WhatsApp, automatically transcribing and responding with audio for hands-free support. Ideal for resolving issues where typing is inconvenient, such as during driving or multitasking.
Facilitates conversational practice by allowing students to send voice messages and receive audio responses, simulating real-time dialogue. Helps improve pronunciation and listening skills through interactive, voice-based exercises.
Allows healthcare providers to conduct voice-based check-ins with patients via WhatsApp, transcribing symptoms and sending audio instructions. Enhances accessibility for elderly or visually impaired patients who prefer voice communication.
Supports technicians in remote locations by enabling voice-to-voice updates on job progress, with automatic transcription for logging. Reduces typing effort and improves communication efficiency in noisy or hands-busy environments.
Assists influencers and creators in generating voice responses for interactive Q&A sessions on WhatsApp, converting audio to text for captions and back to audio for replies. Streamlines engagement with followers through voice notes.
Offer the skill as a subscription service for businesses to integrate into their WhatsApp customer support, charging monthly fees based on usage volume. Provides recurring revenue through tiered plans for small to enterprise clients.
Monetize by charging per voice message processed, with API access for developers to embed the skill into custom applications. Attracts startups and developers needing scalable, on-demand voice processing without upfront costs.
License the skill technology to companies for rebranding and integration into their own products, such as CRM systems or communication platforms. Generates upfront licensing fees and ongoing support contracts.
💬 Integration Tip
Ensure local tools like ffmpeg and whisper-cpp are properly installed and configured for fast audio processing to maintain low response times.
Scored Apr 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Text-to-speech via OpenAI Audio Speech API.
Generate spoken audio from text using the local Kokoro TTS engine. Use when the user asks to "say" something, requests a voice message, or wants text converted to speech.
Convert text to speech using Hume AI (or OpenAI) API. Use when the user asks for an audio message, a voice reply, or to hear something "of vive voix".
Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.