walkie-talkieHandles 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-talkieGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
Enables businesses to offer voice-based customer support via WhatsApp, automatically transcribing user audio queries and responding with synthesized voice answers. Ideal for handling common inquiries without typing, improving accessibility and engagement in real-time.
Facilitates interactive voice practice for language learners on WhatsApp, where users send audio messages and receive pronunciation feedback or conversational responses in the target language. Supports immersive learning with local tools for fast, private interactions.
Allows field technicians or delivery personnel to communicate hands-free via WhatsApp by sending voice updates and receiving audio instructions. Automates transcription and response generation to streamline operations without requiring typing in busy environments.
Sends automated voice reminders for medical appointments via WhatsApp, with patients able to confirm or reschedule by replying with audio messages. Transcribes responses locally for privacy and responds with synthesized voice to enhance patient compliance.
Engages users in voice-driven interactive stories on WhatsApp, where they send audio choices and receive narrated story branches. Uses local TTS to generate dynamic audio responses, creating an immersive entertainment experience without external APIs.
Offer this skill as a subscription service for businesses to integrate voice-to-voice automation on WhatsApp, charging monthly fees based on usage volume or features. Revenue comes from tiered plans targeting SMEs needing enhanced customer interaction tools.
License the skill to enterprises on a pay-per-use basis, where clients pay for each voice interaction processed (e.g., per transcription or TTS response). Suitable for high-volume industries like customer service, with revenue scaling directly with usage.
Package the skill as a white-label product for tech companies or agencies to rebrand and resell to their clients, with revenue from upfront licensing fees and ongoing support contracts. Targets industries needing customized voice automation without development overhead.
💬 Integration Tip
Ensure local tools like ffmpeg and whisper-cpp are properly installed and optimized for low-latency to meet the RTF < 0.5 constraint, and test audio file formats for compatibility with WhatsApp's voice note requirements.
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.