A comprehensive audio toolkit for AI agents to process, normalize, and transcribe audio files using industry-standard tools like FFmpeg and Whisper.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install audio
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install audio using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Audio Processing & Transcription?
The Audio skill is a professional-grade extension designed for those utilizing Openclaw Skills to manage complex audio workflows. It provides a robust interface for manipulating sound files, allowing agents to perform high-quality conversions, remove background noise, and ensure audio meets strict loudness standards for various streaming platforms. By integrating core utilities like FFmpeg and SoX, it brings studio-level processing capabilities to the AI agent environment.
This skill is particularly valuable for developers and creators who need to automate the boring parts of audio production. From simple format changes to advanced stem separation and local transcription, this addition to the Openclaw Skills library ensures that your agent can handle any audio task with precision and technical accuracy.
Audio Processing & Transcription Use Cases
- Automating podcast production by applying loudness normalization for Spotify or Apple Podcasts.
- Converting high-resolution master files into compressed, web-ready formats like MP3 or OGG.
- Generating localized subtitles or text transcripts from audio using Whisper integration.
- Extracting audio tracks from video files to create standalone assets.
- Batch processing audio files to adjust playback speed or apply noise reduction filters.
How Audio Processing & Transcription Works
- The agent identifies the specific goal, such as the target format, loudness requirements, or transcription needs.
- The source file is analyzed using ffprobe to determine its codec, sample rate, and channel configuration.
- The transformation logic is applied using FFmpeg or SoX based on the user's specific request or the chosen workflow template.
- The resulting output is verified to ensure it plays correctly and meets the required technical specifications.
- The final processed file is delivered to the user or moved to the designated output directory.
Audio Processing & Transcription Setup
To get started with this skill in your Openclaw Skills setup, you must install the required system binaries.
# Install core audio processing tools
sudo apt install ffmpeg ffprobe
# Optional: Install SoX for advanced noise reduction filters
sudo apt install sox
# Optional: Install Whisper for local transcription support
pip install openai-whisper
Audio Processing & Transcription Data Schema & Taxonomy
The skill manages audio data based on technical metadata and industry standards.
| Component | Description |
|---|---|
| Codecs | Supports libmp3lame, AAC, FLAC, WAV, and Opus |
| Loudness | Standards including -16 LUFS (Spotify) and -19 LUFS (Apple) |
| Metadata | Extracts sample rate, bitrate, and duration via ffprobe |
| Stems | Organizes separated tracks (Vocals, Bass, Drums) via Demucs |
Audio Processing & Transcription Advanced Features
- Multi-platform loudness normalization ensuring consistency across different streaming services.
- Stem separation capabilities to isolate vocals and instruments from a single track.
- Local-first transcription to maintain data privacy while generating SRT or VTT files.
- Complex filter chain support for real-time audio enhancement and noise gating.
- Seamless integration into larger Openclaw Skills automation pipelines for media management.
SKILL.md
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