Bts AI Menu Pipeline

The workflow JSON

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{
  "name": "BTS AI Menu Pipeline",
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "create-menu",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "webhook",
      "name": "Menu Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        200,
        300
      ]
    },
    {
      "parameters": {
        "jsCode": "const body = $input.first().json.body || $input.first().json;\nconst restaurantId = body.restaurantId || 'unknown';\nconst vendorId = body.vendorId;\n\n// Determine input type\nlet inputType = 'unknown';\nlet imageData = null;\n\nif (body.file?.base64 || body.file?.data) {\n  inputType = 'image';\n  imageData = body.file.base64 || body.file.data;\n}\nif (body.url) {\n  inputType = 'url';\n  imageData = body.url;\n}\nif (body.menuItems && Array.isArray(body.menuItems)) {\n  inputType = 'json';\n}\n\nreturn {\n  restaurantId,\n  vendorId,\n  inputType,\n  imageData,\n  menuItems: body.menuItems || [],\n  timestamp: new Date().toISOString()\n};"
      },
      "id": "parse-input",
      "name": "Parse Input",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        400,
        300
      ]
    },
    {
      "parameters": {
        "conditions": {
          "string": [
            {
              "value1": "={{ $json.inputType }}",
              "operation": "notEqual",
              "value2": "json"
            }
          ]
        }
      },
      "id": "check-image",
      "name": "Has Image/URL?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 1,
      "position": [
        600,
        300
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://openrouter.ai/api/v1/chat/completions",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "=Bearer {{ $env.OPENROUTER_API_KEY }}"
            }
          ]
        },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"model\": \"google/gemini-2.5-flash\",\n  \"messages\": [{\n    \"role\": \"user\",\n    \"content\": [\n      {\"type\": \"image_url\", \"image_url\": {\"url\": \"{{ $json.imageData.startsWith('http') ? $json.imageData : 'data:image/jpeg;base64,' + $json.imageData }}\"}},\n      {\"type\": \"text\", \"text\": \"Extract ALL menu items from this image. For each item provide: name, price (PHP number), category, description. Return ONLY a JSON array: [{\\\"name\\\":\\\"...\\\",\\\"price\\\":0,\\\"category\\\":\\\"...\\\",\\\"description\\\":\\\"...\\\"}]\"}\n    ]\n  }],\n  \"max_tokens\": 4000\n}",
        "options": {
          "timeout": 60000
        }
      },
      "id": "vision-extract",
      "name": "Vision AI Extract",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        850,
        200
      ]
    },
    {
      "parameters": {
        "jsCode": "const input = $input.first().json;\nconst parseInput = $('Parse Input').first().json;\nlet items = parseInput.menuItems || [];\n\n// Parse AI response if available\nif (input.choices?.[0]?.message?.content) {\n  try {\n    let c = input.choices[0].message.content;\n    c = c.replace(/```json?/g, '').replace(/```/g, '').trim();\n    const match = c.match(/\\[.*\\]/s);\n    if (match) items = JSON.parse(match[0]);\n  } catch (e) {\n    console.log('Parse error:', e.message);\n  }\n}\n\n// Normalize items\nconst normalized = items.map((item, idx) => ({\n  id: `item-${idx}-${Date.now()}`,\n  name: item.name || `Item ${idx + 1}`,\n  price: parseFloat(item.price) || 0,\n  category: item.category || 'General',\n  description: item.description || '',\n  imagePrompt: `Professional food photo of ${item.name || 'Filipino dish'}. Appetizing, warm lighting, ceramic plate, no text.`\n}));\n\nreturn {\n  restaurantId: parseInput.restaurantId,\n  vendorId: parseInput.vendorId,\n  items: normalized,\n  count: normalized.length\n};"
      },
      "id": "normalize",
      "name": "Normalize Items",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1100,
        300
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"success\": true,\n  \"restaurantId\": \"{{ $json.restaurantId }}\",\n  \"itemCount\": {{ $json.count }},\n  \"items\": {{ JSON.stringify($json.items) }},\n  \"message\": \"Menu items extracted successfully\"\n}"
      },
      "id": "respond",
      "name": "Return Response",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        1350,
        300
      ]
    }
  ],
  "connections": {
    "Menu Webhook": {
      "main": [
        [
          {
            "node": "Parse Input",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Input": {
      "main": [
        [
          {
            "node": "Has Image?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Has Image?": {
      "main": [
        [
          {
            "node": "Vision AI Extract",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Normalize Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Vision AI Extract": {
      "main": [
        [
          {
            "node": "Normalize Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Normalize Items": {
      "main": [
        [
          {
            "node": "Return Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

About this workflow

BTS AI Menu Pipeline. Uses httpRequest. Webhook trigger; 6 nodes.

Source: https://github.com/innovatehubph/bts-delivery/blob/26bb958764e52fab467da38333b0c259c7a84fd8/n8n-workflows/ai-menu-pipeline.json — original creator credit. Request a take-down →

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