lh-edge-ttsText-to-speech conversion using Python edge-tts for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and sub...
Install via ClawdBot CLI:
clawdbot install liuhedev/lh-edge-ttsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://tts.travisvn.com/Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Enhances accessibility by converting text-based content like articles, emails, or documents into audio for visually impaired users or those preferring auditory learning. Supports multiple languages and adjustable speech rates for clear comprehension.
Generates voiceovers for videos, podcasts, or e-learning modules with customizable voices, speeds, and subtitles. Useful for creators needing efficient audio production without professional recording setups.
Integrates TTS into chatbots or IVR systems to provide spoken responses in customer service, offering multilingual support and adjustable speech parameters for better user experience.
Assists language learners by converting text to speech with native voices, allowing practice in pronunciation and listening comprehension across different accents and speeds.
Enables users to listen to text content while driving, cooking, or exercising by converting documents or web pages into audio, with speed adjustments for efficient consumption.
Offer basic TTS conversion for free with limited voices and features, then charge for premium options like advanced voices, higher usage limits, and API access. Targets small businesses and individual creators.
Provide customized TTS solutions for enterprises, integrating the skill into existing systems like CRM or e-learning platforms with support, maintenance, and scalability options.
Create a platform where users can generate and sell audio content using the TTS skill, with tools for voice customization and subtitle generation, taking a commission on sales.
💬 Integration Tip
Use the built-in tts tool for quick implementation in chatbots, or customize with Python scripts for advanced features like voice selection and subtitle generation.
Scored Apr 18, 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.