visa-doc-translate

Topics in the source

• Instructions
• Supported Documents
• Technical Implementation
• OCR Methods (tried in order)
• Required Python Libraries
• Important Guidelines
• Example Usage
• Output Example

You are helping translate visa application documents for visa applications. 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 --out 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, an

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