Entwicklung abgeschlossen - FAX-Inhaltsextraktion

• •Google Drive API-Anmeldedaten
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •Google Sheets API-Anmeldedaten
• •Google Gemini API Key

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  "meta": {
    "instanceId": "{YOUR_INSTANCE_ID}",
    "templateCredsSetupCompleted": true
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  "name": "Development Done - FAX Content Extraction",
  "tags": [
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      "id": "m1paRrANi4GrQXxX",
      "name": "AI Internal",
      "createdAt": "2025-09-18T04:05:25.667Z",
      "updatedAt": "2025-09-18T04:05:25.667Z"
    }
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      "parameters": {
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          "value": "={{ $('Upload file').item.json.id }}"
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        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-exp:generateContent",
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          "cachedResultName": "My Drive"
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        "text": "==You are a strict JSON parser.\nReturn ONLY valid JSON that matches this schema. \nNo markdown, no comments, no extra text.\n\nSchema:\n{\n  \"PatientID\": \"string or null\",\n  \"SOCDate\": \"string or null\",\n  \"MedicalRecord\": \"string or null\",\n  \"ProviderNo\": \"string or null\",\n  \"PatientName\": \"string or null\",\n  \"PatientAddress\": \"string or null\",\n  \"DateOfBirth\": \"string or null\",\n  \"SafetyMeasures\": \"string or null\",\n  \"Allergies\": \"string or null\",\n  \"Gender\": \"string or null\",\n  \"Mental Status\": \"string or null\",\n  \"Prognosis\": \"string or null\",\n  \"DateSigned\": \"string or null\"\n}\n\nRules:\n- Include **all** keys, even if null.\n- Do not add markdown (like ```json).\n- Do not add extra text.\n\nExtracted Fax Text:\n\"\"\"\n{{ $json.extractedText }}\n\"\"\"\n",
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        "promptType": "define",
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      },
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      "position": [
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      "webhookId": "{YOUR_WEBHOOK_ID}",
      "parameters": {
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        "formTitle": "Fax File",
        "formFields": {
          "values": [
            {
              "fieldType": "file",
              "fieldLabel": "Upload File",
              "multipleFiles": false,
              "requiredField": true
            }
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        "formDescription": "User can Upload the Fax PDF directly here!"
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      "typeVersion": 2.2
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      "parameters": {
        "jsCode": "// Function to clean and extract plain text\nreturn $input.all().map(item => {\n  const candidates = item.json.candidates || [];\n  const firstCandidate = candidates[0] || {};\n  const parts = firstCandidate.content?.parts || [];\n  let extractedText = parts[0]?.text || \"\";\n\n  // Clean markdown-like artifacts\n  extractedText = extractedText\n    .replace(/\\*\\*/g, \"\")   // remove bold markers\n    .replace(/\\*/g, \"\")     // remove list markers\n    .trim();\n\n  return {\n    json: {\n      extractedText\n    }\n  };\n});\n"
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        "content": "## 1. Start Here: Form Trigger \n* This is the entry point for the workflow.\n* It creates a web form where a user can upload the FAX PDF file."
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        "width": 288,
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        "content": "## 2. Configure: Upload to Google Drive\n* Select your Google Drive account from the 'Credentials' dropdown.\n* Change the Folder ID to the specific Google Drive folder where you want to save the faxes."
      },
      "typeVersion": 1
    },
    {
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        "width": 224,
        "height": 320,
        "content": "## 3. Customize AI Brain (Part 1)\n* You can edit the *prompt* value here to change the extraction rules or ask for different information."
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        "width": 272,
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        "content": "## 4. First AI Call: PDF Extraction\n* **ACTION REQUIRED**: You must select your \"Google Palm API\" credentials from the dropdown for this node to work."
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        "content": "## 5. Customize AI Brain (Part 2)\nThis second AI call structures the cleaned text into a strict JSON format.\n* **ACTION REQUIRED**: In the connected Google Gemini Chat Model node, select your Gemini API credentials.\n* To change the final output fields, edit the JSON schema inside the Prompt field of this node."
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        "content": "## Final Step: Save to Google Sheets\n* **ACTION REQUIRED**: Configure your Google Sheets credentials.\n* **ACTION REQUIRED**: Update the Document ID with the ID of your own Google Sheet.\n* Ensure the column names in this node match the header row in your target Google Sheet."
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        "content": "## Extraction Values\n* Once the workflow is set up and all nodes are configured, define the fields you want to extract from the *fax* content.\n\n* Add corresponding column fields in *Google Sheets* for each data point that needs to be extracted.\n\n* In the *LLM Chain* node prompt, specify the same fields as keys and provide example values to guide the extraction.\n\n* Update the *Structured Output Parser* with these keys and expected values to ensure the output is consistently structured and aligned with your Google Sheets columns."
      },
      "typeVersion": 1
    }
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