silicon-paddle-ocr
OCR skill using PaddleOCR model via SiliconFlow API. This skill should be used when the user asks to "recognize text from an image", "extract text from a photo", "OCR this image", "read text from screenshot", or mentions "PaddleOCR", "image text recognition", "text extraction from images".
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aotenjou/silicon-paddleocr --skill silicon-paddle-ocr- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads silicon-paddle-ocr automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
OCR - Image Text Recognition
Use PaddleOCR to extract text content from images. Supports single image or batch processing.
Overview
This skill provides optical character recognition (OCR) capabilities using the PaddlePaddle/PaddleOCR-VL-1.5 model via the SiliconFlow API. Extract text from JPG, PNG, WebP, BMP, and GIF images.
When to Use
Invoke this skill when:
- User wants to extract text from an image
- User asks to OCR a screenshot or photo
- User needs to read text from an image file
- User mentions text recognition from images
How to Use
Prerequisites
Ensure the SILICONFLOW_API_KEY environment variable is set:
export SILICONFLOW_API_KEY="your_api_key"
Basic Usage
Execute the OCR script:
python3 scripts/ocr_skill.py [options] image_path
Arguments
| Argument | Description |
|---|---|
images | Image file path(s) or glob pattern (required) |
-k, --api-key | API key (default: from SILICONFLOW_API_KEY env) |
-m, --model | OCR model name (default: PaddlePaddle/PaddleOCR-VL-1.5) |
-p, --prompt | Recognition prompt for custom behavior |
-j, --json | Output results in JSON format |
-o, --output | Save results to specified file |
--max-tokens | Maximum tokens in response (default: 2000) |
Examples
Single image:
python3 scripts/ocr_skill.py /path/to/image.jpg
Multiple images with glob:
python3 scripts/ocr_skill.py /path/to/images/*.png
JSON output format:
python3 scripts/ocr_skill.py --json /path/to/image.jpg
Custom prompt for table extraction:
python3 scripts/ocr_skill.py -p "Please identify and format table content as Markdown" /path/to/table.jpg
Save to file:
python3 scripts/ocr_skill.py --json --output results.json /path/to/images/*.jpg
Output Format
Text output (default):
--- image.jpg ---
识别到的文字内容
识别到 X 处文字区域
JSON output:
{
"image.jpg": {
"image_path": "/path/to/image.jpg",
"image_size": [width, height],
"texts": [
{
"text": "识别的文字",
"box": [[x1, y1], [x2, y2], [x3, y3], [x4, y4]]
}
],
"full_text": "所有文本的组合"
},
"image2.png": { ... }
}
Coordinates Explanation:
- LOC values are normalized coordinates converted to pixel coordinates
- Conversion: pixel = LOC × (image_size / LOC_max_value)
- LOC max_value is approximately 972 (may vary by model/image)
- The
boxfield provides the four corner coordinates of each text region in pixel format
Supported Image Formats
- JPG/JPEG
- PNG
- WebP
- BMP
- GIF
Error Handling
If processing fails:
- Check that the image file exists
- Verify the SILICONFLOW_API_KEY is valid
- Ensure the API endpoint is reachable
Images that fail to process will show an error message, and other images will continue processing.
Additional Resources
Reference Files
references/api-configuration.md- API configuration details
Example Files
examples/sample-usage.sh- Example usage script
Scripts
scripts/ocr_skill.py- The main OCR implementation
FAQ
What does the silicon-paddle-ocr skill do?
OCR skill using PaddleOCR model via SiliconFlow API. This skill should be used when the user asks to "recognize text from an image", "extract text from a photo", "OCR this image", "read text from screenshot", or mentions "PaddleOCR", "image text recognition", "text extraction from images".
How do I install silicon-paddle-ocr?
Run npx skills add https://github.com/aotenjou/silicon-paddleocr --skill silicon-paddle-ocr in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/silicon-paddle-ocr/ (personal) or .claude/skills/silicon-paddle-ocr/ (project).
Which AI agents can use silicon-paddle-ocr?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is silicon-paddle-ocr safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains silicon-paddle-ocr?
It is published by aotenjou in aotenjou/silicon-paddleocr. It has 1,229 recorded installs.
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