mlx-ttsText-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Install via ClawdBot CLI:
clawdbot install guoqiao/mlx-ttsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/guoqiao/mlx-ttsAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Users can convert written notes, emails, or documents into audio for hands-free listening while multitasking, such as during commutes or household chores. This leverages local processing on Apple Silicon for privacy and speed without internet dependency.
Educators and students with visual impairments or reading difficulties can generate audio from textbooks, assignments, or study materials. The offline capability ensures reliable access in classrooms or remote learning environments without API costs.
Podcasters, video creators, or social media influencers can quickly produce voiceovers or audio snippets from scripts using open-source models like QWen3-TTS. It streamlines workflow by eliminating external service delays and fees.
Software developers can integrate this skill into custom applications or workflows on macOS for automated audio alerts, notifications, or interactive voice responses. The local execution reduces latency and enhances security for sensitive data.
Companies can use it to create audio versions of training manuals, policies, or onboarding materials for employees. This supports diverse learning styles and allows playback on Apple devices without relying on cloud-based TTS services.
Offer the core TTS functionality for free to attract users, then charge for premium features like advanced voice models, higher audio quality, or batch processing tools. Revenue can come from one-time purchases or subscriptions.
License the skill to businesses for embedding into their internal systems, such as customer service platforms or educational software. Provide support and customization services for a recurring fee based on usage or seats.
Partner with Apple or third-party vendors to pre-install the skill on Apple Silicon devices like Mac mini or MacBook as a value-added feature. Generate revenue through commissions or bundled software sales.
💬 Integration Tip
Ensure brew and required CLI tools are installed via the provided script, and handle audio file paths dynamically in agent workflows for seamless voice message delivery.
Scored Apr 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
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.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Start voice calls via the OpenClaw voice-call plugin.