AI Caption Generator for Video for Openclaw

A powerful AI skill for generating, syncing, and embedding multi-language captions into video files using cloud GPU rendering.

whitejohnk-26
v1.0.0
Apr 18, 2026
0
335
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ai-caption-generator-for-video

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ai-caption-generator-for-video 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 Caption Generator for Video?

This skill enables developers and content creators to transform raw video footage into polished, captioned content using advanced AI caption generation. By leveraging cloud-based GPU processing via Openclaw Skills, users can bypass local installation requirements and handle everything from speech-to-text synchronization to high-definition video exporting directly through an AI agent interface.

Whether you are working with short social media clips or longer interviews, this integration streamlines the video editing pipeline. It automates the complex task of aligning text with audio, supporting multiple languages and ensuring 1080p output quality with minimal manual intervention. It is a critical addition for anyone looking to scale their video production within the Openclaw Skills ecosystem.

AI Caption Generator for Video Use Cases

  • Automatically add synchronized captions to smartphone-recorded interviews for professional accessibility.
  • Generate multi-language subtitles in English and Spanish for global social media distribution.
  • Batch process multiple video assets in a single session to maintain consistent styling and branding.
  • Rapidly iterate on video drafts by refining text overlays and audio tracks through natural language prompts.

How AI Caption Generator for Video Works

  1. The user uploads a video file such as an MP4 or MOV or provides a URL to the agent.
  2. The skill establishes a secure session with the cloud processing backend using an authorized token.
  3. User instructions for AI caption generation are processed via a Server-Sent Events (SSE) stream for real-time updates.
  4. The cloud GPU pipeline composites video layers, applies text overlays, and performs platform-specific compression.
  5. Once rendering is complete, the skill provides a high-quality 1080p MP4 download link for the user.

AI Caption Generator for Video Setup

To use this within the Openclaw Skills ecosystem, you must configure your environment variables. If you do not have a NEMO_TOKEN, the skill can automatically generate an anonymous token with 100 free credits via the Mega API.

Set the token in your environment:

export NEMO_TOKEN="your_token_here"

Ensure your configuration directory is accessible at ~/.config/nemovideo/ for session state persistence and metadata tracking.

AI Caption Generator for Video Data Schema & Taxonomy

This Openclaw Skills entry organizes video project data using a specialized JSON draft schema optimized for cloud rendering. Key components include:

Key Definition Description
t Tracks Array of all media tracks currently in the project.
tt Track Type Integer indicating type: 0 (video), 1 (audio), or 7 (text).
sg Segments Specific time blocks or clips within a specific track.
d Duration Length of the segment measured in milliseconds.
m Metadata Additional properties for rendering and speech alignment.

Supported media formats include mp4, mov, avi, and webm for video, and mp3, wav, or m4a for audio tracks.

AI Caption Generator for Video Advanced Features

  • Real-time SSE stream processing for interactive editing with status heartbeats during long renders.
  • High-definition 1080p rendering on dedicated cloud GPU nodes for professional-grade output.
  • Automated multi-language caption synchronization using advanced speech-to-text analysis.
  • Session-based state management allowing for iterative refinements without needing to re-upload assets.
  • Integrated credit management to track usage across the Openclaw Skills platform.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Github Stars: 0
forks: 0

Featured*