A sophisticated image analysis skill that leverages the Google Cloud Vision API for OCR and label detection.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vision-analyze
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 vision-analyze 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 Vision Analyze (Google)?
Vision Analyze (Google) is a dedicated image processing skill designed to provide AI agents with high-fidelity visual perception. By integrating the Google Cloud Vision API, this tool enables the extraction of rich metadata from visual content, including precise text recognition and thematic label identification. It serves as a critical bridge for developers building multi-modal applications within the Openclaw Skills ecosystem.
This skill is built to handle diverse visual inputs, transforming raw pixels into actionable data. Whether your agent needs to read a document or understand the context of a photograph, Vision Analyze (Google) provides the necessary computational intelligence to interpret visual assets accurately and efficiently.
Vision Analyze (Google) Use Cases
- Automated data extraction from scanned documents and receipts using OCR.
- Metadata generation for image libraries through automated label detection.
- Content moderation and categorization based on visual elements.
- Enhancing AI agent context by providing visual descriptions of local or remote images.
How Vision Analyze (Google) Works
- The user provides a target image via a local file path or a publicly accessible URL.
- The skill transmits the image data to the Google Cloud Vision API endpoints.
- The Google Cloud Vision engine performs deep learning analysis to identify objects and extract text.
- The processed results are returned as a structured response containing labels and OCR text for use in your Openclaw Skills workflow.
Vision Analyze (Google) Setup
To utilize this skill, you must have a Google Cloud Project with the Vision API enabled and appropriate authentication configured. Ensure your environment has access to your Google Cloud Service Account credentials.
# Example usage within your environment
vision_analyze /path/to/local/image.png
vision_analyze https://example.com/image.jpg
Vision Analyze (Google) Data Schema & Taxonomy
The skill returns structured information based on the image analysis results:
| Attribute | Description |
|---|---|
| Label Detection | A list of detected entities, objects, and concepts within the image. |
| OCR Output | The complete text string extracted from the image using Optical Character Recognition. |
| Input Source | The original file path or URL provided during the request. |
Vision Analyze (Google) Advanced Features
- Dual-mode input support for both local file system paths and remote web URLs.
- High-precision Optical Character Recognition (OCR) for complex text layouts.
- Seamless integration capabilities with other Openclaw Skills for multi-step data processing pipelines.
- Direct access to Google's industry-leading machine learning models for image classification.
SKILL.md
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