name: paddleocr-text-recognition description: >- Use this skill whenever the user wants text extracted from images, photos, scans, screenshots, or scanned PDFs. Returns exact machine-readable strings with line-level text and optional bbox coordinates. Strong accuracy for CJK, small print, and handwritten text. Trigger terms: OCR, 文字识别, 图片转文字, 截图识字, 提取图中文字, 扫描识字, 识字, 纯文字, plain text extraction, 坐标, 检测框, bbox, bounding box, image to text, screenshot, photo scan, recognize text. license: Apache-2.0 metadata: openclaw: requires: env: - PADDLEOCR_ACCESS_TOKEN bins: - paddleocr primaryEnv: PADDLEOCR_ACCESS_TOKEN emoji: "🔤" install: - kind: uv package: paddleocr bins: [paddleocr]

PaddleOCR Text Recognition

When to Use This Skill

Use this skill for:

• Extract text from images (screenshots, photos, scans)
• Extract text from PDFs or document images when the goal is line/box-level text
• Extract text from URLs or local files that point to images/PDFs

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Do not use for:

• Documents with tables, formulas, charts, or complex layouts — use Document Parsing instead

Usage

Basic OCR

From URL:

paddleocr api \
  --model_type ocr \
  --file_url "https://example.com/image.png"

From local file:

paddleocr api \
  --model_type ocr \
  --file_path "./document.pdf"

Common Options

# With specific model
paddleocr api \
  --model_type ocr \
  --model PP-OCRv5 \
  --file_path "./report.pdf"

# Disable preprocessing (faster, for flat/well-oriented images)
paddleocr api \
  --model_type ocr \
  --file_path "./document.pdf" \
  --use_doc_unwarping False \
  --use_doc_orientation_classify False

# Save result to file
paddleocr api \
  --model_type ocr \
  --file_url "https://..." \
  --output result.json

# Page ranges
paddleocr api \
  --model_type ocr \
  --file_path "./large.pdf" \
  --page_ranges "1-5,10,15-20"

Output Format

{
  "jobId": "job-xxx",
  "pages": [
    {
      "prunedResult": {
        "rec_texts": ["Line 1", "Line 2"],
        "rec_scores": [0.98, 0.95]
      },
      "ocrImageUrl": "https://..."
    }
  ]
}

Important Notes

Preprocessing options: By default, the API enables document preprocessing (unwarping and orientation classification). For flat, well-oriented images (screenshots, properly scanned documents), you can disable preprocessing for faster results:

paddleocr api --model_type ocr --file_path "./document.pdf" --use_doc_unwarping False --use_doc_orientation_classify False

Keep preprocessing enabled when: - The input is a photo of a curved or folded document - The document has significant perspective distortion - Orientation is uncertain (rotated 90/180/270 degrees)

Display complete results: Always show the full extracted content to users. Do not truncate with "..." unless content exceeds 10,000 characters. When multiple pages are processed, summarize if needed but provide complete results when explicitly requested.

Handle errors gracefully: When the CLI returns an error, inform the user of the specific issue rather than silently failing or falling back to your own vision capabilities. Common errors: - Authentication: PADDLEOCR_ACCESS_TOKEN invalid or missing - Quota: API rate limit exceeded - No content detected: Image may be blank or contain no text

CLI Reference

Run paddleocr api --help for all options.

For full documentation, see: PaddleOCR Official Documentation

这个Skill质量良好，能满足从图片和扫描件中提取文字的核心需求。文档清晰易懂，使用场景说明充分，预处理选项和错误处理都讲得很清楚，许可证和风险提示也很到位。不足之处是没有提供快速验证方法让用户确认环境配置正确，也缺少常见问题的解决办法。