GPT4o를 사용하여 명함에서 연락처를 자동으로 테이블로 추출

• •Google Drive API 인증 정보
• •Google Sheets API 인증 정보
• •OpenAI API Key

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  "name": "Auto Extract Contacts from Business Cards to Sheet With GPT4o",
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      "name": "Sales Workflow",
      "createdAt": "2025-08-02T06:00:12.615Z",
      "updatedAt": "2025-08-02T06:00:12.615Z"
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        "content": "# 📄 Auto Extract Contacts from Business Cards to Sheet With GPT4o\n\nThis smart workflow extracts names, phone numbers, emails, and more from uploaded name card photos using AI, then logs them neatly into your Google Sheet. No typing. No mess. Just upload and go.\n\n## 👤 Who’s it for\n\n- Sales & Business Development Teams  \n- Recruiters & Talent Acquisition Specialists  \n- Event Teams collecting business cards  \n- Admins who manage contact databases manually  \n\n## ⚙️ How it works / What it does\n\nThis workflow automates the extraction of contact details from uploaded name card (business card) images and stores them in a structured Google Sheet for easy tracking and follow-up.\n\n### Workflow Steps:\n1. User uploads one or more name card images through a web form.\n2. The uploaded files are saved to a Google Drive folder for archiving.\n3. A smart AI agent (with OCR and GPT capabilities) scans each image and extracts relevant contact data into structured JSON format.\n4. Data is transformed, cleaned (e.g., removing `+` from phone numbers), and filtered.\n5. Valid contacts are appended to a Google Sheet for central tracking and future use.\n\n## 🛠 How to set up\n\n1. **Create a Form**  \n   - Allow file upload (JPG/PNG format).\n   - Label it as “Name Card Uploader” with a clear description.\n\n2. **Upload to Google Drive**  \n   - Use the Google Drive node to store uploaded images.\n\n3. **Configure Smart Agent**  \n   - Use GPT-4o or similar model with OCR capability.\n   - Apply a structured output parser to extract contact fields like name, phone, email, company, etc.\n\n4. **Transform Data**  \n   - Use the Code node to clean and structure contact info.\n   - Strip out unwanted characters from phone numbers (e.g., `+`).\n\n5. **Filter Invalid Records**  \n   - Remove entries with no meaningful contact data.\n\n6. **Append to Google Sheets**  \n   - Use the Google Sheets node with \"Append Sheet Row\".\n   - Map fields to columns like Name, Phone, Email, etc.\n\n## ✅ Requirements\n\n- n8n workflow environment  \n- Google Drive integration (for file storage)  \n- Google Sheets integration (for storing contacts)  \n- GPT-4o or any image-capable LLM  \n- Clear name card images (PNG/JPG, readable text)  \n- (Optional) Slack/email integration for notifications\n\n## 🧩 How to customize the workflow\n\n- **CRM Sync**: Connect to platforms like HubSpot, Salesforce, or Zoho.  \n- **Validation Logic**: Ensure records contain key fields like name or email before writing.  \n- **Uploader Info**: Attach submitter metadata to each contact record.  \n- **Language Adaptation**: Adjust extracted field labels/output to target your preferred language.  \n- **Batch Upload**: Handle multiple cards in a single image or multiple uploads in one go."
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        "content": "## 1.1. Smart agent extract contact from name card picture \n- Sales person upload picture (png/jpg) with multiple name cards (no limit, make sure it clear).\n- Smart agent with OCR capability scan the image and extract all contact and relevant information then transform to well-structure JSON "
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        "content": "## 3. Add record to google sheet\n- Client contact has been extracted from name card pictures and save to google drive sheet"
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        "text": "=Extract all business contact details from this image of multiple name cards. Return full names, job titles, company names, phone numbers, email addresses, websites, office addresses, and any relevant information such as QR code content or social media links. Do not include decorative elements or branding.",
        "options": {
          "systemMessage": "You are a smart assistant that helps sales and business development teams extract business contact information from images containing multiple business cards. Your role is to analyze the image, detect all individual cards, and extract relevant details such as full name, job title, company name, phone number, email address, website, office address, social media links, and any QR code content. You should skip any decorative or branding elements and focus only on useful business information. Maintain a logical reading order from top to bottom, left to right. Your output will be used by a downstream parser, so return clean, readable text without additional formatting or structure."
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        "content": "## 1.2. Upload to Google Drive folder for later process"
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        "content": "## 2. Transform & clean data"
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