🎚️ Audio Processing AI Skills

Reduce noise, hiss, and static in a speech recording with Yaps. Save a separate clean file. 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.

ElevenLabs API integration with managed authentication. AI-powered text-to-speech, voice cloning, sound effects, and audio processing. Use this skill when users want to generate speech from text, clone voices, create sound effects, or process audio. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn an ElevenLabs connection into automation, in the order they are used: the connection (the first step), a hosted function that runs an ElevenLabs action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with ElevenLabs examples; they add no ElevenLabs capability - ElevenLabs is not an event source, a trigger cannot read ElevenLabs data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).

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...

GPT-only: озвучивает текст и документы выразительным голосом и собирает проверенный MP3; подходит для чтения вслух, аудиокниг и озвучки. Требует GPT browser control и FFmpeg/FFprobe, не нативен для OpenClaw; Android ChatGPT требует отдельного импорта ZIP.

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...

Use for Pixelhub API direct calls when users need image generation/editing, video generation/post-processing, or audio/music generation.

Use AudioPod AI's API for audio processing tasks including AI music generation (text-to-music, text-to-rap, instrumentals, samples, vocals), stem separation, text-to-speech, noise reduction, speech-to-text transcription, speaker separation, and media extraction. Use when the user needs to generate music/songs/rap from text, split a song into stems/vocals/instruments, generate speech from text, clean up noisy audio, transcribe audio/video, or extract audio from YouTube/URLs. Requires AUDIOPOD_API_KEY env var or pass api_key directly.

Convert voice notes, humming, and melodic audio recordings to quantized MIDI files using ML-based pitch detection and intelligent post-processing

Offline speech-to-text (ASR) using whisper.cpp (whisper-cli) + ffmpeg. Supports batch transcription, timestamps, SRT/TXT/JSON outputs, and model download. Cr...

Transcribe, diarise, translate, post-process, and structure audio/video with AssemblyAI. Use this skill when the user wants AssemblyAI specifically, needs hi...

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.

Authentic J.A.R.V.I.S. voice synthesis using Piper TTS with HuggingFace-trained model. Generates movie-accurate voice locally and can push to connected Andro...

Local text-to-speech using macOS `say` + ffmpeg for Telegram/Matrix voice messages

Enables voice synthesis, voice cloning, voice design, and audio post-processing using MiniMax Voice API and FFmpeg. Use when converting text to speech, creat...

Download podcast audio from RSS feeds and transcribe to text using AuralWise API. This skill should be used when the user wants to download podcast episodes, convert podcast audio to text transcripts, or batch-process a podcast library for searchable content. Triggers include downloading podcasts, podcast transcription, audio-to-text conversion, RSS feed downloading, or any request involving podcast audio acquisition and speech-to-text conversion. Covers RSS feed discovery, audio downloading, AuralWise API transcription, and AI-generated content overviews with book references, key concepts, and searchable keywords.

Suno music generation model. Supports inspiration mode (auto lyrics) and custom mode (manual lyrics), generating music with or without vocals. Suno 音乐生成模型。支持灵感模式（自动作词）和自定义模式（手动填词），可生成包含人声或纯器乐的音乐。

当用户想要**一键批量从音频文件中提取超干净纯人声（干声 / Vocals Only）**、去除伴奏/背景音乐时，自动调用此技能。 一键音频人声分离工具。专门从音频文件（.mp3/.wav/.flac等）中提取超干净干声（Acapella）或去除背景音制作伴奏。 核心用途：支持单个音频文件或整个文件夹批量处理（.mp3/.wav/.flac 等格式），输出高质量无杂音干声，自动在输入同级创建 [输入文件夹]_vocals 文件夹，完美保留原目录结构。 高频触发场景包括： - 翻唱练习、翻唱视频制作、B站/抖音/小红书演唱素材清洗 - 卡拉OK 伴奏制作（只保留人声） - 音乐制作中的人声分

Create audiobooks from web content or text files. Handles content fetching, text processing, and TTS conversion with automatic fallback between ElevenLabs, O...

Generate music and audio via Kie.ai's Suno gateway (V3.5 through V5.5). Use for background tracks, instrumental beds, full songs with vocals, or extending ex...

Extract structured JSON data from invoice PDFs or images using UpInvoice.eu AI for fast, accurate automation of invoice processing in ERP systems.

Use when converting voice recordings, voice memos, or speech transcripts into structured Markdown notes, setting up recording-folder monitoring, or processing pending transcription files.

Enables real-time voice chat in Discord channels with speech-to-text, Claude AI processing, and text-to-speech playback supporting barge-in and auto-reconnect.