A high-performance AI tool for translating subtitles in existing HTTPS videos using the WeryAI API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-tool-subtitle-translate
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 video-tool-subtitle-translate 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 Video Subtitle Translate?
The Video Subtitle Translate skill is a specialized utility within the Openclaw Skills ecosystem designed for seamless video localization. Unlike general video editors, this skill focuses exclusively on the subtitle-translate workflow, allowing developers and content creators to take an existing video via a public URL and generate a translated version in a target language. It is a self-contained, secure, and efficient solution for globalizing video content without the overhead of full video recreation.
Built to run on Node.js 18+, this skill leverages the WeryAI API to process videos hosted on public HTTPS servers. By prioritizing a single-purpose workflow, it ensures high reliability and security, specifically avoiding local file access and focusing on cloud-to-cloud processing. This makes it an ideal component for automated content pipelines where speed and accuracy in translation are paramount.
Video Subtitle Translate Use Cases
- Globalizing marketing videos by translating original subtitles into multiple target languages.
- Localizing educational content and tutorials for international student bases.
- Automating subtitle translation for corporate communications hosted on internal or public cloud storage.
- Integrating video translation capabilities into larger AI-driven content management workflows.
How Video Subtitle Translate Works
- The user provides a public HTTPS URL of the video and specifies the target language code.
- The Openclaw Skills agent validates the input parameters against the tool schema.
- A translation task is submitted to the WeryAI API using the
submitorwaitcommand. - The system either blocks until completion (wait) or returns a task ID for asynchronous tracking (submit).
- The tool polls the WeryAI service to check the processing status.
- Once complete, the skill provides a direct Markdown link to the localized video with translated subtitles.
Video Subtitle Translate Setup
To get started, ensure you have Node.js 18 or higher installed and a valid API key from WeryAI.
# Set your environment variable
export WERYAI_API_KEY='your_api_key_here'
# Verify the tool schema and requirements
node scripts/video_subtitle_translate.js spec
# Run a dry-run to validate your configuration
node scripts/video_subtitle_translate.js wait \
--json '{"video_url":"https://example.com/video.mp4","target_language":"en"}' \
--dry-run
Video Subtitle Translate Data Schema & Taxonomy
The skill operates using a strict JSON-based communication protocol. It requires specific input fields and provides structured outputs for task management.
| Field | Type | Description |
|---|---|---|
video_url |
String | A public HTTPS URL pointing to the source MP4/MOV file. |
target_language |
String | ISO language code (e.g., en, zh, ja, ko, es). |
task_id |
String | A unique identifier returned by the API for tracking status. |
All results are delivered as final URLs, and the skill maintains a strict no-local-file-access policy to ensure data integrity.
Video Subtitle Translate Advanced Features
- Asynchronous Polling: Use the
submitandstatuscommands to manage long-running translation tasks without blocking the CLI. - Schema Validation: Built-in
speccommand allows other Openclaw Skills to programmatically discover the API surface and requirements. - Idempotency Awareness: Includes a pre-submit gate to prevent accidental paid API calls by requiring explicit user confirmation of URLs.
- Dry-Run Mode: Validate JSON payloads and API connectivity without consuming credits or triggering actual video processing.
SKILL.md
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