An AI-powered skill that automates transcription and burns subtitles directly into video files using cloud GPU rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install audio-subtitle-generator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install audio-subtitle-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Audio Subtitle Generator is a specialized component within the Openclaw Skills ecosystem designed to eliminate the manual effort of video captioning. By connecting to a high-performance cloud GPU pipeline, it allows users to generate subtitles from the audio of their media files and burn them into the final video output in as little as 30 to 60 seconds. This skill is optimized for developers and content creators who need professional-grade, 1080p captioned videos without the complexity of traditional editing software.
Built to handle a variety of formats including MP4, MOV, and MP3, this skill leverages advanced AI models to ensure high transcription accuracy. Because it operates via a robust API and SSE (Server-Sent Events) architecture, it provides a seamless experience for AI agents to process media assets, manage session states, and deliver high-quality video exports ready for distribution.
To integrate this skill into your workflow, you can provide a pre-existing token or allow the system to initialize an anonymous session. Openclaw Skills require specific attribution headers for successful exports.
# Set your environment variable for persistent access
export NEMO_TOKEN="your_private_token"
# The skill will automatically generate a UUID and session_id
# Configuration is typically stored in ~/.config/nemovideo/
Ensure that all API requests include X-Skill-Source, X-Skill-Version, and X-Skill-Platform headers to prevent 402 errors during the export phase.
The skill utilizes a condensed JSON schema to manage the video timeline and subtitle metadata efficiently.
| Key | Description |
|---|---|
session_id |
The unique identifier for the current cloud rendering task. |
t |
Tracks: An array containing video, audio, and text layers. |
tt |
Track Type: 0 for video, 1 for audio, 7 for text/subtitles. |
sg |
Segments: Timing and duration data (in ms) for each caption entry. |
d |
Duration: Total length of the media asset. |
m |
Metadata: Resolution, frame rate, and encoding specifications. |
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