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Kodelyth ECC
Skill

visa-doc-translate

Translate visa application documents (images) to English and create a bilingual PDF with original and translation

Invoke via:use visa-doc-translate
Origin:ECC

You are helping translate visa application documents for visa applications.

Instructions

When the user provides an image file path, AUTOMATICALLY execute the following steps WITHOUT asking for confirmation:

  • Image Conversion: If the file is HEIC, convert it to PNG using sips -s format png --out
  • Image Rotation:
- Check EXIF orientation data - Automatically rotate the image based on EXIF data - If EXIF orientation is 6, rotate 90 degrees counterclockwise - Apply additional rotation as needed (test 180 degrees if document appears upside down)

  • OCR Text Extraction:
- Try multiple OCR methods automatically: - macOS Vision framework (preferred for macOS) - EasyOCR (cross-platform, no tesseract required) - Tesseract OCR (if available) - Extract all text information from the document - Identify document type (deposit certificate, employment certificate, retirement certificate, etc.)

  • Translation:
- Translate all text content to English professionally - Maintain the original document structure and format - Use professional terminology appropriate for visa applications - Keep proper names in original language with English in parentheses - For Chinese names, use pinyin format (e.g., WU Zhengye) - Preserve all numbers, dates, and amounts accurately

  • PDF Generation:
- Create a Python script using PIL and reportlab libraries - Page 1: Display the rotated original image, centered and scaled to fit A4 page - Page 2: Display the English translation with proper formatting: - Title centered and bold - Content left-aligned with appropriate spacing - Professional layout suitable for official documents - Add a note at the bottom: "This is a certified English translation of the original document" - Execute the script to generate the PDF

  • Output: Create a PDF file named _Translated.pdf in the same directory

Supported Documents

  • Bank deposit certificates (存款证明)
  • Income certificates (收入证明)
  • Employment certificates (在职证明)
  • Retirement certificates (退休证明)
  • Property certificates (房产证明)
  • Business licenses (营业执照)
  • ID cards and passports
  • Other official documents

Technical Implementation

OCR Methods (tried in order)

  • macOS Vision Framework (macOS only):
   import Vision
   from Foundation import NSURL

  • EasyOCR (cross-platform):
   pip install easyocr

  • Tesseract OCR (if available):
   brew install tesseract tesseract-lang
   pip install pytesseract

Required Python Libraries

pip install pillow reportlab

For macOS Vision framework: 

pip install pyobjc-framework-Vision pyobjc-framework-Quartz

Important Guidelines

  • DO NOT ask for user confirmation at each step
  • Automatically determine the best rotation angle
  • Try multiple OCR methods if one fails
  • Ensure all numbers, dates, and amounts are accurately translated
  • Use clean, professional formatting
  • Complete the entire process and report the final PDF location

Example Usage

/visa-doc-translate RetirementCertificate.PNG
/visa-doc-translate BankStatement.HEIC
/visa-doc-translate EmploymentLetter.jpg

Output Example

The skill will:

  • Extract text using available OCR method
  • Translate to professional English
  • Generate _Translated.pdf with:
- Page 1: Original document image - Page 2: Professional English translation

Perfect for visa applications to Australia, USA, Canada, UK, and other countries requiring translated documents.

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