— 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>` 2. **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) 3. **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.) 4. **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 5. **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 6. **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): “`python import Vision from Foundation import NSURL “` 2. **EasyOCR** (cross-platform): “`bash pip install easyocr “` 3. **Tesseract OCR** (if available): “`bash brew install tesseract tesseract-lang pip install pytesseract “` ### Required Python Libraries “`bash pip install pillow reportlab “` For macOS Vision framework: “`bash 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 “`bash /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.