A layout-preserving image translation tool that detects, translates, and renders text directly onto visual documents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install camscanner-translate-image
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 camscanner-translate-image 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 CamScanner Image Translator?
The CamScanner Image Translator is a robust technical skill designed for Openclaw Skills that enables developers and AI agents to perform high-fidelity image-to-image translation. By leveraging professional-grade OCR and rendering engines, this skill doesn't just extract text; it translates foreign language content and places it back into the image, maintaining the original visual structure and design. This is essential for maintaining the context of diagrams, menus, and complex documents.
Built to integrate seamlessly with automated workflows, this skill handles the heavy lifting of language detection and visual synthesis. It provides a reliable bridge between raw visual data and multi-language accessibility, ensuring that the visual integrity of the source material remains intact throughout the translation process.
CamScanner Image Translator Use Cases
- Translating text within technical diagrams or flowcharts without losing visual context.
- Converting foreign language screenshots or digital documents into a preferred native language.
- Processing scanned PDF images or photos of physical signage for travel and research.
- Automated localization checks for marketing assets and UI mockups.
How CamScanner Image Translator Works
- The skill initiates by uploading the source image as a binary stream to the processing server.
- It maps the user's requested language to a specific ISO-style language code or performs a dynamic lookup via the API.
- A translation job is triggered using the uploaded file ID, specifying the target language.
- The system processes the image, replacing detected text with translated equivalents while matching the original font layout.
- The final translated image is downloaded using a raw response mode and saved to the local directory.
CamScanner Image Translator Setup
To integrate this component into your Openclaw Skills environment, ensure you have the necessary CLI dependencies installed.
# Install system dependencies
sudo apt-get install curl jq
No complex API keys are required for basic integration, but you must ensure your environment can reach the ai-tools.camscanner.com endpoint for the three-step pipeline: upload, translate, and download.
CamScanner Image Translator Data Schema & Taxonomy
The skill manages data through a temporary file-tracking system using the following schema:
| Attribute | Description | Type |
|---|---|---|
| file_id | A unique session-based identifier for the image (e.g., file_1741857600_ab12cd) | String |
| to | The destination language code (e.g., zh-Hans, en, fr) | String |
| response_mode | Configuration set to raw for binary file retrieval | String |
| tool_result | Nested object containing success status and processing metadata | Object |
CamScanner Image Translator Advanced Features
- Dynamic Language Discovery: Supports over 30 languages with an automated lookup API for uncommon dialects.
- Layout-Preserved Rendering: Unlike standard text OCR, this maintains the position, orientation, and background of the original text.
- Binary Stream Support: Uses application/octet-stream for efficient image uploads of high-resolution files.
- Multi-Agent Compatibility: The stateless file ID system allows different agents to handle upload and download tasks independently.
SKILL.md
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