📝 Transcription & STT AI Skills

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.

Create, manage, and deploy ElevenLabs conversational AI agents. Use when the user wants to work with voice agents, list their agents, create new ones, or manage agent configurations.

Turn an audio or video file into text with Yaps. Good for interviews, podcasts, and voice memos. New users: install Yaps and sign in.

Type with your voice using Yaps on desktop. Get set up, fix a problem, or recover a recent dictation. New users: install Yaps and sign in.

Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.

Text-to-speech via OpenAI Audio Speech API.

Fast, affordable automatic speech-to-text transcription supporting 100 languages, speaker diarization, word timestamps, and customizable output formats.

Text-to-speech conversion using `uvx edge-tts` for generating audio from text. 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.

Access ElevenLabs APIs for text-to-speech, speech-to-speech, realtime speech-to-text, voice/model management, and dialogue workflows with direct HTTP calls.

Generate short sound effects via ElevenLabs SFX (text-to-sound). Use when you need SFX clips like applause, canned laughter, whooshes, ambience, or short stingers, and optionally convert to WhatsApp-friendly .ogg/opus.

Supports image understanding, OCR, speech-to-text, and text-to-speech synthesis with multi-voice and multimodal unified processing using OpenAI and Edge TTS.

Build, adapt, or run an audio-processing workflow that takes spoken audio, transcribes it with Whisper or faster-whisper, translates the transcript using the...

Intelligent speech-to-text using local OpenAI Whisper (no API key needed, fully private). Use when you need to transcribe audio files, convert voice messages...

Convert audio to SRT subtitles using OpenAI Whisper with automatic GPU acceleration for Intel XPU / NVIDIA CUDA / AMD ROCm / Apple Metal. Ideal for content c...

Local speech-to-text using OpenAI Whisper. Use when the user needs to: (1) transcribe audio files to text, (2) convert voice messages to written content, (3)...

基于Whisper CLI的本地语音转文字工具，无需API Key，支持中文交互和多场景自动化工作流应用。

Use when OpenClaw needs to call SpeakNotes API routes directly using an API key and generate transcripts/summaries from YouTube URLs, media files, or documen...

Local speech-to-text using faster-whisper. High-performance transcription with GPU acceleration support. Includes word-level timestamps and distilled models....

Text-to-speech conversion using Zhipu AI (BigModel) GLM-TTS model. Use when you need to convert text to audio files with various voice options. Supports Chin...

Record experimental procedures and observations via voice commands during lab work. Real-time transcription for structured experiment documentation.

Send and receive voice messages on Feishu (Lark) using ElevenLabs TTS and STT. Activate when user asks to send a voice message on Feishu, or when receiving a...

Standalone Telegram bot for voice message transcription via OpenAI Whisper API. No LLM overhead — audio goes directly to Whisper and text comes back in 2-5 s...

音视频处理工具集。支持以下操作： - 从视频文件中提取音频并保存为 WAV 格式 - 对音频文件按指定开始时间和持续时长进行截取 - 播放指定的视频或音频文件（调用系统默认播放器） - 语音识别转文字（Whisper），输出 JSON 格式（含时间戳、置信度） - 提取音频/视频元数据（码率、采样率、时长、编码等...

Self-hosted OpenAI-compatible speech service. /v1/audio/transcriptions fronts 12 open ASR models (Whisper, Parakeet, Nemotron-3.5-ASR, Canary, Sherpa-ONNX, Vosk); /v1/audio/transcriptions/stream accepts live PCM over WebSocket. /v1/audio/speech fronts 3 TTS engines / 4 backends — Kokoro-82M (41 baked voices, PyTorch + ONNX runtimes), the CUDA-only Qwen3-TTS family (voice cloning, preset speakers, voice design), and the CUDA-only Chatterbox Turbo (English, 19 inline emotion tags, transcript-free cloning). Stereo diarization, URL fetching, six ASR/file-staging MCP tools, bearer auth.