An AI-powered utility that automatically matches audio tracks to speaker lip movements in video files using high-performance cloud GPU processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lipsyncvideo-ai
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 lipsyncvideo-ai 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 LipSync Video AI?
LipSync Video AI is a specialized tool within the Openclaw Skills ecosystem designed to harmonize audio recordings with the visual lip movements of speakers in video clips. By utilizing remote GPU farms, this skill performs heavy-duty video processing without requiring local hardware resources, making it ideal for developers and creators who need to generate professional-grade dubs or voiceovers. It produces high-quality 1080p MP4 outputs, ensuring that your synchronized content meets modern production standards.
This skill is particularly effective for post-production tasks where original audio needs to be replaced or where translated dialogue must appear natural. As one of the more technically capable Openclaw Skills, it handles complex synchronization logic via Server-Sent Events (SSE), providing real-time feedback during the rendering process while maintaining frame-level accuracy.
LipSync Video AI Use Cases
- Replacing low-quality original audio with clean professional voiceovers while maintaining visual consistency.
- Synchronizing translated or dubbed audio tracks to match the speaker's mouth movements in foreign language content.
- Correcting sync issues in training or marketing videos where the audio and video have drifted apart.
- Automating bulk video dubbing workflows within the Openclaw Skills environment.
How LipSync Video AI Works
- The skill authenticates with the backend using a NEMO_TOKEN or by generating a unique anonymous client identifier.
- A new session is initialized to track the project state and processing lifecycle.
- Source video and audio files are uploaded to the cloud backend via multipart ingestion or URL reference.
- A synchronization request is sent through an SSE stream, which triggers the AI models to analyze and adjust the video frames.
- The skill monitors the draft state and metadata to ensure all segments are correctly aligned.
- Finally, a high-quality render is triggered, and the user receives a link to the processed 1080p MP4 file.
LipSync Video AI Setup
To integrate this into your workflow, ensure your environment is properly configured. Like many Openclaw Skills, it relies on specific environment variables for authentication.
# Export your API token to the environment
export NEMO_TOKEN="your_api_token_here"
# If you don't have a token, you can generate an anonymous one
curl -X POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token \
-H "X-Client-Id: $(uuidgen)"
LipSync Video AI Data Schema & Taxonomy
The skill manages video and audio tracks through a structured draft schema. This metadata allows Openclaw Skills to maintain precise control over the timeline.
| Property | Key | Description |
|---|---|---|
| Tracks | t |
An array of all media tracks in the project |
| Track Type | tt |
Identifier for media type (0: Video, 1: Audio, 7: Text) |
| Segments | sg |
Array defining the start and end points of media clips |
| Duration | d |
Total duration of the clip in milliseconds |
| Metadata | m |
Additional file info like resolution and bitrate |
LipSync Video AI Advanced Features
- Frame-accurate synchronization that handles complex speech patterns and various languages.
- Support for large file uploads up to 500MB with a wide range of supported containers including MP4, MOV, and MKV.
- Real-time status monitoring via SSE heartbeats to provide updates on long-running GPU tasks.
- Automatic attribution and header management to ensure seamless communication with cloud rendering proxies within the Openclaw Skills framework.
SKILL.md
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