Webhook-enabled AI PDF analyzer

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      "parameters": {
        "options": {
          "responseCode": 200,
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "application/json"
              }
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        },
        "respondWith": "json",
        "responseBody": "={{\n{\n  \"error\": null,\n  \"meta\": {\n    \"hash\": $('Get File Hash').first().json.data,\n  },\n  \"result\": $json.response\n}\n}}"
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      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
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          "combinator": "and",
          "conditions": [
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              "operator": {
                "type": "number",
                "operation": "lte"
              },
              "leftValue": "={{ $('Get Filesize').item.json.filesize_in_bytes }}",
              "rightValue": "={{ 10000000 }}"
            },
            {
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              "operator": {
                "type": "number",
                "operation": "lte"
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              "leftValue": "={{ $json.numpages }}",
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      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "function convertToBytes(size) {\n    const units = {\n        b: 1,\n        bytes: 1,\n        kb: 1024,\n        mb: 1024 * 1024,\n        gb: 1024 * 1024 * 1024,\n    };\n\n    // Extract the number and unit using regex\n    const regex = /([\\d.]+)\\s*(bytes|b|kb|mb|gb)/i;\n    const match = size.match(regex);\n\n    if (!match) {\n        throw new Error(`Invalid size format: \"${size}\"`);\n    }\n\n    const value = parseFloat(match[1]);\n    const unit = match[2].toLowerCase();\n\n    // Calculate the size in bytes\n    const factor = units[unit];\n    if (!factor) {\n        throw new Error(`Unsupported unit: \"${unit}\"`);\n    }\n\n    return Math.round(value * factor);\n}\n\nconst data = $('File Ref').first().binary.data;\n\nreturn {\n  json: { filesize_in_bytes: convertToBytes(data.fileSize) },\n  binary: { data }\n}"
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      "name": "Extract from File",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
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      "parameters": {
        "options": {},
        "operation": "pdf"
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      "position": [
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      "parameters": {
        "color": 7,
        "width": 720,
        "height": 480,
        "content": "### 2. Validate PDF File\nWe need to add validation here to meet service limits of our LLM. Here, we need to get for filesize and number of pages. "
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      "parameters": {
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        "width": 600,
        "height": 480,
        "content": "### 3. Document Parsing with Gemini API \nGoogle Gemini is used to breakdown the PDF into topics and provide insights for each. The number of topics and insights are not set and can be variable."
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      "position": [
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      "parameters": {
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        "width": 480,
        "height": 280,
        "content": "### 5. Format Response\nFinally, we'll format the output to return the summary as markdown."
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      "name": "Information Extractor",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "onError": "continueErrorOutput",
      "position": [
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      ],
      "parameters": {
        "text": "=Document as follows:\n{{ $json.text }}",
        "options": {
          "systemPromptTemplate": "You are a note-taking agent helping the user to summarise this PDF in note form. Breakdown the document into distinct topics and provide a 3 paragraph summary of each topic discussed in the document."
        },
        "schemaType": "manual",
        "inputSchema": "{\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n     \"properties\": {\n       \"topic\": { \"type\": \"string\" },\n       \"insights\": {\n         \"type\": \"array\",\n         \"items\": {\n           \"type\": \"object\",\n           \"properties\": {\n             \"title\": { \"type\": \"string\" },\n             \"body\": { \"type\": \"string\" }\n           }\n         }\n       }\n     }\n  }\n}"
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          "responseCode": 400
        },
        "respondWith": "json",
        "responseBody": "{\n  \"error\": \"Unable to parse document. Please ensure file is less than 10mb with maximum of 20 pages.\",\n  \"result\": []\n}"
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      "name": "Get File Hash",
      "type": "n8n-nodes-base.crypto",
      "disabled": true,
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      "parameters": {
        "value": "={{ $('File Ref').first().binary }}"
      },
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    },
    {
      "id": "e6221a49-d4d8-4aa5-bbd8-69b885ff7254",
      "name": "POST /ai_pdf_summariser",
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      ],
      "webhookId": "a452fbcb-c7c4-4c0b-b435-b1829d411e7a",
      "parameters": {
        "path": "ai_pdf_summariser",
        "options": {
          "ignoreBots": false
        },
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      ],
      "parameters": {
        "width": 280,
        "height": 100,
        "content": "### POST /ai_pdf_summariser\nCall this endpoint to upload a document for summarising."
      },
      "typeVersion": 1
    },
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      "name": "OpenAI Chat Model1",
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      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
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        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "pY9tCO8MgTcBYqdJ",
          "name": "OpenAi account Tutorial from docs"
        }
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            "node": "Get File Hash",
            "type": "main",
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    "Get Filesize": {
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            "node": "Extract from File",
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    "Get File Hash": {
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            "node": "Get Filesize",
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            "node": "Information Extractor",
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    "Format Response": {
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    "Extract from File": {
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    "Information Extractor": {
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            "node": "Format Response",
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    "POST /ai_pdf_summariser": {
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          {
            "node": "File Ref",
            "type": "main",
            "index": 0
          }
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}