An AI-powered skill that transforms written scripts and documents into high-quality 1080p videos with voiceovers and visuals.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install online-text-to
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 online-text-to using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Online Text To Video skill for Openclaw Skills enables developers and marketers to bridge the gap between written content and video production. By leveraging remote GPU nodes, this skill processes text inputs—including TXT, DOCX, and PDF files—to generate ready-to-share MP4 videos in minutes. It eliminates the need for local rendering by offloading complex composition and compression tasks to the cloud.
This skill is particularly effective for creating social media content, product explainers, and educational snippets. With support for aspect ratio adjustments, text overlays, and audio track integration, it provides a streamlined pipeline for automated video creation without requiring specialized editing software or high-end local hardware.
To use this skill within Openclaw Skills, you must ensure your environment is configured correctly. The skill primarily requires a NEMO_TOKEN for authentication.
# Set the required environment variable for your session
export NEMO_TOKEN="your_token_here"
On the first connection, the skill can automatically generate an anonymous token and create a session. Configuration paths are typically stored in ~/.config/nemovideo/ to maintain persistence across different AI agent tasks.
The skill manages data through a session-based timeline architecture, organizing assets into specific tracks. The following schema details how data is structured:
| Field | Description |
|---|---|
| tracks (t) | An array containing all media layers |
| track type (tt) | Identifies content type (0: Video, 1: Audio, 7: Text) |
| segments (sg) | Individual media blocks within the timeline |
| duration (d) | Segment length measured in milliseconds |
| metadata (m) | Technical properties including resolution and file info |
All output files are standardized as MP4 using H.264 compression for maximum compatibility across web and mobile platforms.
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