A high-precision OCR tool for extracting mixed Chinese and English text from screenshots, receipts, and structured forms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install siliconflow-image-ocr
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install siliconflow-image-ocr using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Image OCR skill is a specialized vision-language processing tool designed for AI agents within the Openclaw Skills ecosystem. By leveraging the SiliconFlow API, it enables seamless extraction of text from various visual formats including local image paths, remote URLs, and base64-encoded strings. It is particularly optimized for handling document-heavy tasks where precision in mixed-language (Chinese/English) environments is critical for success.
This skill serves as a bridge between visual data and structured text, allowing your agent to perceive and interpret information from invoices, tables, and screenshots. Unlike general-purpose chat models, this specific implementation focuses on the fidelity of text extraction, making it an essential utility for developers building automated data entry or document analysis pipelines.
To integrate this into your environment, follow these steps:
# 1. Set your SiliconFlow API Key as an environment variable
export SILICONFLOW_API_KEY="your_key_here"
# 2. Alternatively, create a secret file for persistent access
mkdir -p ~/.openclaw/secrets/
echo "your_key_here" > ~/.openclaw/secrets/siliconflow_api_key
chmod 600 ~/.openclaw/secrets/siliconflow_api_key
# 3. Verify the installation with a simple test
python scripts/paddleocr_vl.py --prompt "Extract text" --image-path /path/to/test.png
The skill utilizes a multimodal messaging structure to handle inputs and returns raw JSON data for maximum flexibility.
| Argument | Requirement | Description |
|---|---|---|
--prompt |
Required | Instructions for the OCR engine (e.g., "Extract all text"). |
--image-path |
Optional | Path to a local image file on the system. |
--image-url |
Optional | URL of an image hosted online. |
Output |
JSON | A structured response containing the full text extraction results. |
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