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visa-doc-translate

Translate visa application documents (images) to English and create a bilingual PDF with original and translation. Use when visa application document images must be translated to English as a bilingual PDF.

visa-doc-translate란 무엇인가요?

visa-doc-translate is a Claude Code agent skill that translate visa application documents (images) to English and create a bilingual PDF with original and translation. Use when visa application document images must be translated to English as a bilingual PDF.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/visa-doc-translate

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

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):

    import Vision
    from Foundation import NSURL
    
  2. EasyOCR (cross-platform):

    pip install easyocr
    
  3. 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.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

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Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

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agentic-os

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agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

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agent-sort

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ai-first-engineering

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ai-regression-testing

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android-clean-architecture

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angular-developer

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