A high-performance AI skill that automatically transcribes audio and burns subtitles into video files using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-auto-caption
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 free-auto-caption 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 Free Auto Caption?
Free Auto Caption is a specialized tool designed for content creators who need to add professional subtitles to their video content without the drudgery of manual transcription. By leveraging remote GPU nodes, this skill handles the heavy lifting of video composition and rendering, delivering high-quality 1080p MP4 files in as little as 30 to 60 seconds. It is a core component of the Openclaw Skills ecosystem, providing a seamless bridge between raw video footage and accessible, captioned media.
The skill supports a wide array of formats including MP4, MOV, and WebM, and manages the entire lifecycle from file upload to final export. Because rendering happens server-side, users can generate captions for videos up to 500MB without taxing their local hardware, making it an ideal solution for fast-paced social media workflows and professional video editing.
Free Auto Caption Use Cases
- Automatically generate and burn in captions for social media videos to increase engagement.
- Fast-track the subtitling process for YouTube tutorials and educational content.
- Convert raw footage into accessible media for hearing-impaired audiences.
- Batch process multiple video files within a single editing session for consistent styling.
- Rapidly iterate on video drafts with text overlays and background music before final export.
How Free Auto Caption Works
- The user provides a video file via upload or URL and issues a command like automatically generate and burn in captions for my video.
- The skill initializes an anonymous or registered session using a NEMO_TOKEN to communicate with the cloud processing API.
- Video files are uploaded to the remote server and processed through a Cloud Render Pipeline.
- An AI-driven SSE (Server-Sent Events) stream handles the intent classification and subtitle generation logic.
- Subtitles are composited onto video layers using cloud GPU nodes, ensuring platform-specific compression and 1080p resolution.
- The skill monitors the render status and provides a final download URL for the captioned MP4 file.
Free Auto Caption Setup
To get started with Free Auto Caption in the Openclaw Skills environment, ensure your environment is configured correctly:
# Set your API token as an environment variable
export NEMO_TOKEN="your_token_here"
# Or allow the skill to generate an anonymous token on first run
# The skill will automatically POST to the auth endpoint using a unique Client-Id
Configuration and session data are typically stored in ~/.config/nemovideo/. Ensure your system allows outbound HTTPS requests to mega-api-prod.nemovideo.ai.
Free Auto Caption Data Schema & Taxonomy
The skill utilizes a structured timeline state and specific metadata taxonomy to manage video projects:
| Key | Description | Details |
|---|---|---|
t |
Tracks | Array of media tracks in the project |
tt |
Track Type | 0: Video, 1: Audio, 7: Text/Captions |
sg |
Segments | Individual clips or text blocks within a track |
d |
Duration | Length of segments in milliseconds (ms) |
m |
Metadata | Additional properties for scaling, position, and styling |
All exports are standardized to H.264 MP4 format with a maximum resolution of 1080x1920.
Free Auto Caption Advanced Features
- Multi-agent support: The skill can be integrated into broader automated workflows via the Openclaw Skills framework.
- Automated session recovery: Uses session_id to maintain timeline state across different interactions.
- Real-time credit monitoring: Integrated commands to check available, frozen, and total credit balances.
- Server-Sent Events (SSE) handling: Manages long-running render jobs with heartbeats to prevent timeouts.
- Intelligent GUI Mapping: Translates visual interface instructions (like drag/drop) into programmatic API actions.
SKILL.md
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