A comprehensive toolset for extracting, normalizing, mixing, and analyzing audio tracks within video and audio containers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multilingual-video-dubbing-ffmpeg-audio-processing
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 multilingual-video-dubbing-ffmpeg-audio-processing 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 FFmpeg Audio Processing?
FFmpeg Audio Processing is a robust technical skill designed for AI agents to handle complex audio manipulation tasks. It leverages the power of FFmpeg to perform high-fidelity audio extraction from video files, loudness normalization following industry standards like ITU-R BS.1770-4, and advanced audio mixing.
This Openclaw Skills integration enables developers to automate audio engineering workflows, such as converting formats to MP3, AAC, or WAV, adjusting decibel levels, and applying sophisticated filters for professional-grade sound output. It is an essential component for any AI-driven media pipeline that requires precise control over auditory data.
FFmpeg Audio Processing Use Cases
- Extracting high-quality audio tracks from video files for transcription or podcasting.
- Normalizing loudness across multiple media files to ensure consistent volume levels.
- Mixing background music with voiceovers using precise volume ducking and controls.
- Converting stereo recordings to mono or extracting specific channels for forensic audio analysis.
- Applying audio effects such as fades, high-pass filters, and low-pass filters to clean up recordings.
How FFmpeg Audio Processing Works
- The AI agent identifies the source media file and the specific audio task required (e.g., extraction or normalization).
- A specific FFmpeg command is constructed using appropriate flags like -vn to disable video or -af for audio filters.
- The system executes the processing command, mapping specific streams or channels as defined by the user requirements.
- Audio analysis tools like volumedetect or ebur128 are utilized to verify peak levels and LUFS if normalization is needed.
- The processed audio is output to the specified format, ensuring metadata and sample rates are preserved or converted as requested.
FFmpeg Audio Processing Setup
To use this skill within your Openclaw Skills environment, ensure you have FFmpeg installed on your system path.
# Install FFmpeg on Ubuntu/Debian
sudo apt update && sudo apt install ffmpeg
# Install FFmpeg on macOS using Homebrew
brew install ffmpeg
# Verify installation
ffmpeg -version
FFmpeg Audio Processing Data Schema & Taxonomy
The skill processes various media containers and produces structured audio outputs and metadata analysis.
| Feature | Details |
|---|---|
| Input Formats | MP4, MKV, MOV, AVI, MP3, WAV, AAC, FLAC |
| Output Formats | MP3 (libmp3lame), AAC, WAV (pcm_s16le), and more |
| Metadata Analysis | Sample rate, channel count, bit rate, and LUFS via ffprobe |
| Filter Chains | loudnorm, volume, amix, adelay, highpass, lowpass |
FFmpeg Audio Processing Advanced Features
- Multi-track mixing with complex filtergraphs for independent volume control per input stream.
- Advanced loudness normalization using the EBU R128 standard for broadcast-ready audio.
- Programmatic audio delay and synchronization to fix lip-sync issues in video files.
- Automated batch concatenation of audio files using the concat protocol or file lists.
- High-precision audio statistics extraction in JSON format for integration with data analytics pipelines.
SKILL.md
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