silicon-paddle-ocr

---

name: silicon-paddle-ocr description: 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". license: MIT metadata: author: aotenjou version: "1.0.0"

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 box field 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