name: visa-doc-translate
description: Translate visa application documents (images) to English and create a bilingual PDF with original and translation

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:

1. Image Conversion: If the file is HEIC, convert it to PNG using sips -s format png <input> --out <output>

1. 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)

1. 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.)

1. 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

1. 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

1. Output: Create a PDF file named <original_filename>_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)

1. macOS Vision Framework (macOS only):

   import Vision
   from Foundation import NSURL

1. EasyOCR (cross-platform):

   pip install easyocr

1. 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:

1. Extract text using available OCR method
2. Translate to professional English
3. Generate <filename>_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.