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

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

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• 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

這個Skill質量良好，能滿足從圖片和掃描件中提取文字的核心需求。文件清晰易懂，使用場景說明充分，預處理選項和錯誤處理都講得很清楚，許可證和風險提示也很到位。不足之處是沒有提供快速驗證方法讓使用者確認環境配置正確，也缺少常見問題的解決辦法。