A high-precision OCR skill designed to detect and recognize text in complex layouts, multi-language documents, and single-page PDFs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tencentcloud-ocr-generalaccurate
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Help me install tencentcloud-ocr-generalaccurate using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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The Tencent Cloud General Accurate OCR skill provides developers with a robust solution for extracting text from visual media where precision is paramount. This skill is particularly effective for processing images with high text density, complex structural layouts, or multi-language content including Chinese, English, digits, and special characters. As part of the Openclaw Skills ecosystem, it allows for seamless integration of cloud-based optical character recognition into automated workflows.
Beyond simple text extraction, this skill supports single-page PDF recognition and can provide granular word-level information, such as character coordinates and confidence scores. This makes it an essential tool for developers building applications that require deep analysis of documents like legal files, shop signs, or street-view imagery where standard OCR might fail.
To use this skill, ensure you have Python 3.6+ installed and the necessary SDK:
pip install tencentcloud-sdk-python
Configure your Tencent Cloud credentials as environment variables:
export TENCENTCLOUD_SECRET_ID="your_secret_id"
export TENCENTCLOUD_SECRET_KEY="your_secret_key"
Run the recognition script using a remote image URL:
python scripts/main.py --image-url "https://example.com/document.jpg"
The skill accepts several configuration parameters and returns a structured JSON response:
| Parameter | Type | Required | Description |
|---|---|---|---|
| ImageUrl | string | Optional* | The URL of the image to process (preferred). |
| ImageBase64 | string | Optional* | Base64 encoded image data (max 10MB). |
| IsPdf | boolean | No | Enable PDF recognition (default: false). |
| IsWords | boolean | No | Return word-level information (default: false). |
Output Format:
{
"raw_text": "Extracted text content...",
"RequestId": "unique-request-id-from-tencent"
}
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