A cloud-powered video processing skill that automates subtitle extraction and embedding through simple natural language prompts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-subtitle-extractor
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 ai-subtitle-extractor 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 AI Subtitle Extractor?
AI Subtitle Extractor is a powerful addition to the Openclaw Skills ecosystem designed to eliminate the manual drudgery of video editing. By leveraging a high-performance cloud rendering pipeline, it allows developers and content creators to transform raw video files into fully captioned, 1080p MP4 assets without touching a traditional timeline or complex export settings.
This skill interfaces directly with the Nemo Video AI backend, providing a seamless bridge between local files and advanced AI subtitle extraction models. Whether you are prepping a technical tutorial for YouTube or generating quick social media snippets, Openclaw Skills ensure the process from upload to download takes as little as 30 to 90 seconds.
AI Subtitle Extractor Use Cases
- Extract subtitles from this video and export as SRT files for multilingual support.
- Burn hard-coded captions into tutorial videos for better accessibility on social platforms.
- Batch process multiple video files within a single session to maintain stylistic consistency.
- Create high-quality 1080p MP4 exports from raw footage using natural language instructions instead of GUI tools.
How AI Subtitle Extractor Works
- Authentication: The skill checks for a NEMO_TOKEN; if absent, it automatically provisions an anonymous token with 100 free credits.
- Session Initiation: A secure project session is created on the cloud backend to track all video segments, tracks, and metadata.
- Media Upload: Users upload video files (up to 500MB) or provide URLs, which are then indexed into the session state.
- AI Processing: Natural language prompts are sent via a Server-Sent Events (SSE) stream to trigger AI subtitle extraction and timeline modifications.
- Cloud Rendering: The final project is sent to a cloud GPU node that composites the video layers and applies H.264 compression.
- Polling & Delivery: The skill polls the rendering status every 30 seconds and provides a direct download link once the status is completed.
AI Subtitle Extractor Setup
To get started with this member of the Openclaw Skills library, ensure your environment is configured:
# The skill automatically attempts to find your token
echo $NEMO_TOKEN
# If you are using a custom config path
mkdir -p ~/.config/nemovideo/
The system will automatically handle anonymous registration upon the first command if no token is found.
AI Subtitle Extractor Data Schema & Taxonomy
The skill manages data through a structured session state, mapping internal GUI instructions to API actions. It uses the following metadata taxonomy for the rendering draft:
| Field | Description |
|---|---|
| t | Tracks (Collection of media layers) |
| tt | Track Type (0: Video, 1: Audio, 7: Text/Subtitles) |
| sg | Segments (Specific clips on the timeline) |
| d | Duration (Measured in milliseconds) |
| m | Metadata (File info and rendering parameters) |
Supported file formats include: mp4, mov, avi, webm, mkv, jpg, png, gif, mp3, wav, and m4a.
AI Subtitle Extractor Advanced Features
- Multi-Agent Support: Compatible with various AI coding IDEs like Cursor and Clawhub via standard attribution headers.
- Real-time Timeline Previews: Ability to query session state to see a text-based summary of all current video and audio tracks.
- Iterative Editing: Maintain persistent session IDs to refine subtitles and overlays across multiple prompts without re-uploading media.
- Automated Error Handling: Built-in logic to handle credit top-ups, token expiration, and rate limiting (429 errors) automatically.
SKILL.md
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