An enterprise-grade multimedia processing tool for video transcoding, editing, and speech-to-text transcription.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install media-processor
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 media-processor 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 Media Processor?
The Media Processor is a robust enterprise-level solution designed for comprehensive multimedia content handling. As part of the Openclaw Skills ecosystem, it provides developers with a streamlined interface to manage complex audio and video tasks, including format conversion across more than 50 types, sophisticated video editing like watermarking and resolution adjustment, and high-quality audio refinement.
This skill is built to be modular and scalable, allowing for seamless integration into larger automation pipelines. By utilizing this within your Openclaw Skills library, you can automate repetitive media tasks that previously required manual intervention or complex command-line scripts.
Media Processor Use Cases
- Automating bulk video transcoding for high-performance streaming platforms.
- Extracting audio and generating bilingual text transcriptions for meetings or podcasts.
- Applying consistent corporate branding via watermarks and resolution standardizations.
- Parallel batch processing of large media libraries to optimize workflow efficiency.
How Media Processor Works
- Initialize the desired processor module such as Video, Audio, or Transcribe within your script.
- Load the source media files into the processing queue.
- Configure specific processing parameters like codecs, timestamps for clipping, or noise reduction levels.
- Execute the processing task, which leverages a local FFmpeg installation for high-performance execution.
- Output the finalized media file or transcription data to the designated project folder.
Media Processor Setup
First, ensure that FFmpeg is installed on your system. Then, install the Python dependencies:
pip install -r requirements.txt
# Verify your FFmpeg installation
ffmpeg -version
Media Processor Data Schema & Taxonomy
| File / Module | Responsibility |
|---|---|
| video_processor.py | Handles transcoding, clipping, and resolution adjustment. |
| audio_processor.py | Manages noise reduction, volume, and extraction. |
| transcribe_engine.py | Powered engine for AI speech-to-text conversion. |
| format_converter.py | Universal converter supporting 50+ media formats. |
Media Processor Advanced Features
- High-density parallel processing for large-scale media queues.
- Support for over 50 unique audio and video formats.
- Intelligent Chinese and English speech-to-text transcription.
- Extensible script architecture compatible with other Openclaw Skills.
SKILL.md
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