📝 Transcription & STT AI Skills

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 STT and TTS on macOS using native Apple capabilities. Speech-to-text via yap (Apple Speech.framework), text-to-speech via say + ffmpeg. Fully offline, no API keys required. Includes voice quality detection and smart voice selection.

Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.

Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.

Transcribe audio files with speaker diarization (who speaks when). Supports 100+ languages, automatic language detection, and timestamps. Use for meetings, interviews, podcasts, or voice messages. Requires AssemblyAI API key.

Transcribes local voice messages to text using Faster Whisper models for fast, privacy-focused speech recognition on audio files.

FREE voice recognition using Groq's complimentary Whisper API. Transcribe audio messages to text in 50+ languages at no cost. Perfect for voice-to-text autom...

Local speech-to-text using Vosk. Lightweight, fast, fully offline. Perfect for transcribing Telegram voice messages, audio files, or any speech-to-text task without cloud APIs.

Text-to-speech via OpenAI Audio Speech API.

Transcribe audio files to text using Telnyx Speech-to-Text API. Use when you need to convert audio recordings, voice messages, or spoken content to text.

Local speech-to-text with the Whisper CLI (no API key).

Text-to-speech using macOS built-in `say` command. Use for voice notifications, audio alerts, reading text aloud, or announcing messages through Mac speakers. Supports multiple languages including Chinese (Mandarin), English, Japanese, etc.

Official Whisper Context skill for OpenClaw. Cuts context tokens via delta compression + caching, and adds long-term memory across sessions.

Extract, transcribe, and translate YouTube video transcripts using the YouTubeTranscript.dev V2 API. Supports captions, ASR audio transcription, batch proces...

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".

Transcribe audio to text and generate spoken AI responses using Whisper and ElevenLabs via CLI with transcript storage and search.

Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. SRT...

Transcribe audio files using OpenAI's gpt-4o-mini-transcribe model with vocabulary hints and text replacements. Requires uv (https://docs.astral.sh/uv/).

Local text-to-speech using Qwen3-TTS-12Hz-1.7B-CustomVoice. Use when generating audio from text, creating voice messages, or when TTS is requested. Supports 10 languages including Italian, 9 premium speaker voices, and instruction-based voice control (emotion, tone, style). Alternative to cloud-based TTS services like ElevenLabs. Runs entirely offline after initial model download.

AI audio generation and text-to-speech powered by CellCog. Voiceover, narration, voice cloning, avatar voices, sound effects, music, podcasts, dialogue. Thre...

(macOS) Discord voice assistant installer. Install/update discord-local-stt-tts (Discord voice, Discord local, local STT + local TTS) from GitHub Releases.