A specialized AI tool designed to identify and erase burnt-in subtitles or on-screen text from public video URLs via 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-erase
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-erase 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 WeryAI Video Subtitle Erase?
WeryAI Video Subtitle Erase is a high-performance utility within the Openclaw Skills ecosystem that streamlines the process of cleaning up video assets. Unlike general video editors, this skill focuses strictly on the subtitle-erase workflow, leveraging AI to detect and remove hardcoded text while maintaining the visual integrity of the underlying footage. It is an essential tool for developers and content creators needing to prep international media for re-titling or clean archival storage.
Built as a self-contained Node.js module, it prioritizes security and simplicity by operating exclusively on public HTTPS URLs. By integrating this skill into your Openclaw Skills library, you gain a robust, programmable interface for video restoration without the overhead of manual editing software or complex local file management.
WeryAI Video Subtitle Erase Use Cases
- Removing hardcoded foreign language subtitles from marketing videos.
- Cleaning up on-screen text overlays from stock footage for repurposing.
- Automating the preparation of clean video masters for localized content production.
- Erasing distracting text elements from AI-generated or captured video clips.
How WeryAI Video Subtitle Erase Works
- The user provides a public HTTPS video URL and optional bounding box coordinates for specific text areas.
- The Openclaw Skills script validates the input and required environment variables.
- A task is submitted to the WeryAI API to process the video frames and intelligently fill in erased areas.
- The script polls the API status (if using the wait command) to monitor the progress of the removal.
- Upon completion, the tool provides a direct link to the processed, text-free video file.
WeryAI Video Subtitle Erase Setup
To get started with this skill, ensure you have Node.js 18+ installed and a valid API key from WeryAI.
# Set your API key environment variable
export WERYAI_API_KEY='your_api_key_here'
# Verify the tool schema and requirements
node scripts/video_subtitle_erase.js spec
# Run a test erase with a public video URL
node scripts/video_subtitle_erase.js wait \
--json '{"video_url":"https://example.com/video.mp4"}'
WeryAI Video Subtitle Erase Data Schema & Taxonomy
The skill utilizes a structured JSON input schema to define the erase parameters. It tracks tasks via unique IDs and returns standardized responses.
| Parameter | Type | Description |
|---|---|---|
video_url |
String | Required. A public https:// URL to the source video file. |
rect_vo_list |
Array | Optional. A list of objects {lt_x, lt_y, rb_x, rb_y} using normalized (0-1) coordinates. |
task_id |
String | The unique identifier returned by the WeryAI API for status tracking. |
status |
String | The current state of the processing job (pending, completed, failed). |
WeryAI Video Subtitle Erase Advanced Features
- Auto-Detection: Leave the coordinate list empty to let the AI automatically detect and erase standard subtitle positions.
- Dry-Run Mode: Validate your JSON payloads and API connectivity without triggering a paid processing task.
- Non-Blocking Submission: Use the
submitcommand to trigger multiple concurrent tasks and check theirstatuslater using the task ID. - Precision Masking: Define custom rectangles via
rect_vo_listto target specific watermarks or UI elements alongside subtitles.
SKILL.md
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