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Skills/aotenjou/silicon-paddleocr/silicon-paddle-ocr
silicon-paddle-ocr logo

silicon-paddle-ocr

aotenjou/silicon-paddleocr
861 installs1 stars
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Installation

npx skills add https://github.com/aotenjou/silicon-paddleocr --skill silicon-paddle-ocr

Summary

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".

SKILL.md

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

ArgumentDescription
imagesImage file path(s) or glob pattern (required)
-k, --api-keyAPI key (default: from SILICONFLOW_API_KEY env)
-m, --modelOCR model name (default: PaddlePaddle/PaddleOCR-VL-1.5)
-p, --promptRecognition prompt for custom behavior
-j, --jsonOutput results in JSON format
-o, --outputSave results to specified file
--max-tokensMaximum 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

Score

0–100
63/ 100

Grade

C

Popularity15/30

861 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Silicon Paddle Ocr skill score badge previewScore badge

Markdown

[![Silicon Paddle Ocr skill](https://www.remoteopenclaw.com/skills/aotenjou/silicon-paddleocr/silicon-paddle-ocr/badges/score.svg)](https://www.remoteopenclaw.com/skills/aotenjou/silicon-paddleocr/silicon-paddle-ocr)

HTML

<a href="https://www.remoteopenclaw.com/skills/aotenjou/silicon-paddleocr/silicon-paddle-ocr"><img src="https://www.remoteopenclaw.com/skills/aotenjou/silicon-paddleocr/silicon-paddle-ocr/badges/score.svg" alt="Silicon Paddle Ocr skill"/></a>

Silicon Paddle Ocr FAQ

How do I install the Silicon Paddle Ocr skill?

Run “npx skills add https://github.com/aotenjou/silicon-paddleocr --skill silicon-paddle-ocr” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

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". The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Silicon Paddle Ocr skill free?

Yes. Silicon Paddle Ocr is a free, open-source skill published from aotenjou/silicon-paddleocr. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Silicon Paddle Ocr work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Silicon Paddle Ocr works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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