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Baupläne zu Google Sheets Automatisierung

Fortgeschritten

Dies ist ein AI Summarization, Multimodal AI-Bereich Automatisierungsworkflow mit 8 Nodes. Hauptsächlich werden GoogleDrive, GoogleSheets, VlmRun, GoogleDriveTrigger und andere Nodes verwendet. Gebäudepläne mit VLM Run und Google Drive zu Google Sheets automatisieren

Voraussetzungen
  • •Google Drive API-Anmeldedaten
  • •Google Sheets API-Anmeldedaten

Verwendete Nodes (8)

StickyNote
GoogleDrive
GoogleSheets
VlmRun
GoogleDriveTrigger

Kategorie

KI-Zusammenfassung
Multimodales KI
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "meta": {
    "instanceId": "96d35e452e0d9a182973416b7532cfc5643239aaaa764a5bf74d52ca84f4a35c"
  },
  "nodes": [
    {
      "id": "437ad354-32ef-4400-afa4-7cc37a819d5b",
      "name": "VLM Run",
      "type": "@vlm-run/n8n-nodes-vlmrun.vlmRun",
      "position": [
        1744,
        480
      ],
      "parameters": {
        "domain": "construction.blueprint"
      },
      "typeVersion": 1
    },
    {
      "id": "6aa5ea64-0da0-4296-b57d-a002b9ca7b28",
      "name": "Zeile in Tabelle anhängen",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2256,
        480
      ],
      "parameters": {
        "columns": {
          "value": {
            "SCALE": "={{ $json.response.title_block.scale }}",
            "ADDRESS": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.title_block?.address) }}\n",
            "DRAWN BY": "={{ $json.response.title_block.drawn_by }}",
            "JOB NAME": "={{ $json.response.title_block.job_name }}",
            "REVISION": "={{ $json.response.title_block.revision }}",
            "CHECKED BY": "={{ $json.response.title_block.checked_by }}",
            "ISSUE DATE": "={{ $json.response.document_metadata.issue_date }}",
            "AGENCY NAME": "={{ $json.response.title_block.agency_name }}",
            "DRAWING TYPE": "={{ $json.response.drawing_type }}",
            "AUTHOR'S NAME": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.document_metadata?.author) }}\n",
            "DOCUMENT TYPE": "={{ $json.response.document_metadata.document_type }}",
            "DOCUMENT TITLE": "={{ $json.response.title_block.document_title }}",
            "DRAWING NUMBER": "={{ $json.response.title_block.drawing_number }}",
            "OTHER METADATA": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.title_block?.other_metadata) }}\n",
            "SCALE LEEGENDS": "={{ $json.response.drawings_blueprints.scale_legends }}",
            "PROJECT DETAILS": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.project_details) }}\n",
            "DOCUMENT NUMBER ": "={{ $json.response.document_metadata.document_number }}",
            "LEGAL COMPLIANCE": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x)\n  return S(v)\n})($json.response?.compliance_legal) }}\n",
            "REVISION HISTORY": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.drawings_blueprints?.revision_history) }}\n",
            "SCALE INFORMATION": "={{ $json.response.scale_information }}",
            "ANNOTATIONS MARKUPS": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.drawings_blueprints?.annotations_markups) }}\n",
            "DRAWING TITLE NUMBERS": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.drawings_blueprints?.drawing_titles_numbers) }}\n"
          },
          "schema": [
            {
              "id": "PROJECT DETAILS",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "PROJECT DETAILS",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "DOCUMENT TYPE",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "DOCUMENT TYPE",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "DOCUMENT NUMBER ",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "DOCUMENT NUMBER ",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "ISSUE DATE",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "ISSUE DATE",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "AUTHOR'S NAME",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "AUTHOR'S NAME",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "DRAWING TITLE NUMBERS",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "DRAWING TITLE NUMBERS",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "SCALE LEEGENDS",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "SCALE LEEGENDS",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "REVISION HISTORY",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "REVISION HISTORY",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "ANNOTATIONS MARKUPS",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "ANNOTATIONS MARKUPS",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "JOB NAME",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "JOB NAME",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "ADDRESS",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "ADDRESS",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "DRAWING NUMBER",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "DRAWING NUMBER",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "REVISION",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "REVISION",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "DRAWN BY",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "DRAWN BY",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "CHECKED BY",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "CHECKED BY",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "SCALE",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "SCALE",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "AGENCY NAME",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "AGENCY NAME",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "DOCUMENT TITLE",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "DOCUMENT TITLE",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "OTHER METADATA",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "OTHER METADATA",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "DRAWING TYPE",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "DRAWING TYPE",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "LEGAL COMPLIANCE",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "LEGAL COMPLIANCE",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "SCALE INFORMATION",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "SCALE INFORMATION",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {
          "useAppend": true
        },
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1NyNXDvHHJwedBSXa8qENv_4nBlqyaU-l3wgtAK-9Om0/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1NyNXDvHHJwedBSXa8qENv_4nBlqyaU-l3wgtAK-9Om0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1NyNXDvHHJwedBSXa8qENv_4nBlqyaU-l3wgtAK-9Om0/edit?usp=drivesdk",
          "cachedResultName": "Construction Blue print"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "42f825ee-f0dd-44c0-91f1-6088fcf29f0d",
      "name": "Datei herunterladen",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        1328,
        480
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {},
        "operation": "download"
      },
      "typeVersion": 3
    },
    {
      "id": "72f102a6-e223-437f-bf19-861818ff9b09",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        512,
        0
      ],
      "parameters": {
        "color": 7,
        "width": 480,
        "height": 768,
        "content": "# Construction Blueprint Processing with VLM Run\n\nAutomatically extracts structured construction blueprint details from uploaded documents in Google Drive and saves them into a Google Sheet for tracking, compliance, or reporting.\n\n## Workflow\n\n1. 📂 Detect file upload in Google Drive\n2. ⬇️ Download the uploaded document\n3. 🤖 Convert document to structured text using VLM Run (`construction.blueprint`)\n4. 📊 Append extracted order data to Google Sheet\n\n## Perfect for\n\n* Construction blueprint processing\n* Architectural plan reviews\n* Engineering drawing requests\n* Permit and regulatory submission workflows\n* Automated compliance documentation\n\n## Requirements\n\n* VLM Run API access\n* Google Drive + Sheets OAuth2\n* n8n server with active workflow"
      },
      "typeVersion": 1
    },
    {
      "id": "145286ec-906c-430d-8448-447eac2bd266",
      "name": "Haftnotiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2048,
        0
      ],
      "parameters": {
        "color": 7,
        "width": 480,
        "height": 768,
        "content": "# Append Row in Sheet\n\n**Function:** Appends extracted structured data into a Google Sheet.\n\n* Columns could be: Project Details, Document Type, Document Number, Issue Date, Author's Name, Drawing Title Numbers, Revision History, Annotations Markups, Job Name\n\n**Benefit:** Provides a structured, continuously updated database for tracking blueprints\n"
      },
      "typeVersion": 1
    },
    {
      "id": "09952464-9148-44c9-a6c0-ab09b285be87",
      "name": "Google Drive Trigger",
      "type": "n8n-nodes-base.googleDriveTrigger",
      "position": [
        1088,
        480
      ],
      "parameters": {
        "event": "fileCreated",
        "options": {
          "fileType": "all"
        },
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "triggerOn": "specificFolder",
        "folderToWatch": {
          "__rl": true,
          "mode": "list",
          "value": "1E8rvLEWKguorMT36yCD1jY78G0u8g6g7",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1E8rvLEWKguorMT36yCD1jY78G0u8g6g7",
          "cachedResultName": "test_data"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6b368cd5-0ce9-453f-9e02-28440878aa72",
      "name": "Haftnotiz1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1024,
        0
      ],
      "parameters": {
        "color": 7,
        "width": 480,
        "height": 768,
        "content": "# 📁 Input Processing\n\n**Monitors & downloads blueprint files from Google Drive.**\n\n**Process:**\n1. Watches designated Drive folder\n2. Auto-triggers on new uploads\n3. Downloads files for AI processing\n\n**Supported Formats:**\n- Images (JPG, PNG, WEBP)\n- PDF documents\n- Mobile camera uploads\n- Scanned receipts"
      },
      "typeVersion": 1
    },
    {
      "id": "84b00cb6-ac37-4ea9-ab09-118c40160767",
      "name": "Haftnotiz3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1536,
        0
      ],
      "parameters": {
        "width": 480,
        "height": 768,
        "content": "# VLM Run (Document)\n\n**Function:** Sends the blueprint file to VLM Run under the category `construction.blueprint`.\n\n* Extracts structured details such as:\n\n  * Project name, address, permit ID\n  * Drawing elements (dimensions, materials, quantities, compliance flags)\n  * Architect/engineer details (name, license number, approval date)\n\n**Benefit:** Turns complex construction blueprints into machine-readable JSON\n"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "437ad354-32ef-4400-afa4-7cc37a819d5b": {
      "main": [
        [
          {
            "node": "6aa5ea64-0da0-4296-b57d-a002b9ca7b28",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "42f825ee-f0dd-44c0-91f1-6088fcf29f0d": {
      "main": [
        [
          {
            "node": "437ad354-32ef-4400-afa4-7cc37a819d5b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "09952464-9148-44c9-a6c0-ab09b285be87": {
      "main": [
        [
          {
            "node": "42f825ee-f0dd-44c0-91f1-6088fcf29f0d",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - KI-Zusammenfassung, Multimodales KI

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

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Autor
Shahrear

Shahrear

@shahrear

I’m Shahrear, a Software Engineer with over 5 years of experience in full-stack development and workflow automation. I specialize in building intelligent automations using n8n, helping teams streamline operations and boost productivity. I’m also an expert in developing custom n8n nodes, with published work on npm - including the @vlm-run/n8n-nodes-vlmrun package. Linkedin - https://www.linkedin.com/in/shahrear-amin/ Email - shahrearbinamin33@gmail.com

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