qwen3-tts-voicedesignText-to-speech with Qwen3-TTS VoiceDesign. Design custom voices via natural language descriptions + seed-based timbre fixation. Includes OpenAI-compatible AP...
Install via ClawdBot CLI:
clawdbot install xiaoyaner0201/qwen3-tts-voicedesignGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://your-server:8881Audited Apr 16, 2026 · audit v1.0
Generated Mar 22, 2026
Creators can generate unique voiceovers for YouTube videos, podcasts, or tutorials by designing voices via natural language descriptions, ensuring brand consistency and avoiding generic TTS sounds. The seed exploration tool allows batch testing to find the perfect timbre for different content types, such as educational explainers or entertainment clips.
Developers integrate this TTS into mobile or web applications to provide text-to-speech functionality for visually impaired users, with customizable voices that can be tailored to user preferences (e.g., gentle female voice for meditation apps). The OpenAI-compatible API simplifies integration into existing systems like chatbots or e-readers.
Companies building AI assistants or customer service bots can use this skill to create distinct, engaging voices that match brand personality, such as a professional male voice for financial advice bots. The seed fixation ensures consistent timbre across interactions, enhancing user trust and experience.
Educational platforms generate speech for course materials in multiple languages or accents, using descriptions like 'Southern soft accent' to make content more relatable for regional audiences. Batch seed comparison helps select optimal voices for different subjects, from children's stories to technical lectures.
Voice actors or studios use this tool to quickly prototype and explore voice styles before recording sessions, saving time and costs. By testing seeds with specific descriptions (e.g., '30-year-old male broadcaster'), they can shortlist candidates for client presentations or refine character voices for animations.
Offer a hosted TTS service with pay-per-use or tiered subscription plans, providing scalable API endpoints for businesses needing custom voice generation. Revenue comes from monthly fees based on usage volume, with premium tiers for advanced features like higher seed limits or priority support.
Sell licenses for self-hosted deployments to large organizations requiring data privacy and control, such as healthcare or finance sectors. Revenue includes one-time licensing fees plus annual maintenance for updates and support, with customization options for specific voice libraries or integration needs.
Provide a free version with basic voices and limited seeds, monetizing through in-app purchases of premium voice packs (e.g., celebrity-style voices or industry-specific accents). Revenue is generated from one-time purchases or microtransactions, targeting individual creators and small businesses.
💬 Integration Tip
Use the OpenClaw integration for seamless AI agent deployment, and set environment variables in .env to lock preferred voices for consistent output across client calls.
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.