This workflow follows the Google Drive → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"nodes": [
{
"id": "b6cd232e-e82e-457b-9f03-c010b3eba148",
"name": "When clicking 'Test workflow'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-40,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2b734806-e3c0-4552-a491-54ca846ed3ac",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"position": [
620,
0
],
"parameters": {
"options": {},
"operation": "binaryToPropery"
},
"typeVersion": 1
},
{
"id": "2c199499-cc4f-405c-8560-765500b7acba",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
420,
0
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "18Ac2xorxirIBm9FNFDDB5aVUSPBCCg1U",
"cachedResultUrl": "https://drive.google.com/file/d/18Ac2xorxirIBm9FNFDDB5aVUSPBCCg1U/view?usp=drivesdk",
"cachedResultName": "Invoice-798FE2FA-0004.pdf"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "e3031c0c-f059-4f30-9684-10014a277d55",
"name": "Call Gemini 2.0 Flash with PDF Capabilities",
"type": "n8n-nodes-base.httpRequest",
"position": [
880,
220
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-exp:generateContent",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": \"application/pdf\",\n \"data\": \"{{ $json.data }}\"\n }\n },\n {\n \"text\": \"{{ $('Define Prompt').item.json.prompt }}\"\n }\n ]\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googlePalmApi"
},
"credentials": {
"anthropicApi": {
"name": "<your credential>"
},
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "135df716-32a1-47e8-9ed8-30c830b803d6",
"name": "Call Claude 3.5 Sonnet with PDF Capabilities",
"type": "n8n-nodes-base.httpRequest",
"position": [
880,
-140
],
"parameters": {
"url": "https://api.anthropic.com/v1/messages",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"claude-3-5-sonnet-20241022\",\n \"max_tokens\": 1024,\n \"messages\": [{\n \"role\": \"user\",\n \"content\": [{\n \"type\": \"document\",\n \"source\": {\n \"type\": \"base64\",\n \"media_type\": \"application/pdf\",\n \"data\": \"{{$json.data}}\"\n }\n },\n {\n \"type\": \"text\",\n \"text\": \"{{ $('Define Prompt').item.json.prompt }}\"\n }]\n }]\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "anthropic-version",
"value": "2023-06-01"
},
{
"name": "content-type",
"value": "application/json"
}
]
},
"nodeCredentialType": "anthropicApi"
},
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "5b8994d1-4bfd-4776-84ac-b3141aca6378",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-700,
-280
],
"parameters": {
"color": 7,
"width": 601,
"height": 585,
"content": "## Workflow: Extract data from PDF with Claude 3.5 Sonnet or Gemini 2.0 Flash\n\n**Overview**\n- This workflow helps you compare Claude 3.5 Sonnet and Gemini 2.0 Flash when extracting data from a PDF\n- This workflow extracts and processes the data within a PDF in **one single step**, **instead of calling an OCR and then an LLM\u201d**\n\n\n**How it works**\n- The initial 2 steps download the PDF and convert it to base64.\n- This base64 string is then sent to both Claude 3.5 Sonnet and Gemini 2.0 Flash to extract information.\n- This workflow is made to let you compare results, latency, and cost (in their dedicated dashboard).\n\n\n**How to use it**\n- Set up your Google Drive if not already done\n- Select a document on your Google Drive\n- Modify the prompt in \"Define Prompt\" to extract the information you need and transform it as wanted.\n- Get a [Claude API key](https://console.anthropic.com/settings/keys) and/or [Gemini API key](https://aistudio.google.com/app/apikey)\n- Note that you can deactivate one of the 2 API calls if you don't want to try both\n- Test the Workflow\n"
},
"typeVersion": 1
},
{
"id": "616241a9-6199-406b-88dc-0afc7d974250",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
60
],
"parameters": {
"color": 5,
"width": 320,
"height": 360,
"content": "You can output the result as JSON by adding the following:\n```\n\"generationConfig\": {\n \"responseMimeType\": \"application/json\"\n```\nor even use a structured output.\n[Check the documentation](https://ai.google.dev/gemini-api/docs/structured-output?lang=rest)"
},
"typeVersion": 1
},
{
"id": "bbac8d3d-d68f-4aa2-a41a-b06f7de2317b",
"name": "Define Prompt",
"type": "n8n-nodes-base.set",
"position": [
180,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "dba23ef5-95df-496a-8e24-c7c1544533d2",
"name": "prompt",
"type": "string",
"value": "Extract the VAT numbers for each country"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3c2e7265-76e5-4911-a950-7e6b0c89ec5a",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
-200
],
"parameters": {
"color": 5,
"width": 320,
"height": 240,
"content": "You can force Claude to output JSON with [Prefill response format](https://docs.anthropic.com/en/docs/test-and-evaluate/strengthen-guardrails/increase-consistency#prefill-claudes-response)"
},
"typeVersion": 1
},
{
"id": "f2b46305-5200-486e-ad4d-ecc0d2a14314",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
-120
],
"parameters": {
"color": 5,
"width": 380,
"height": 280,
"content": "These 2 steps first download the PDF file, and then convert it to base64.\nThis is required by both APIs to process the file."
},
"typeVersion": 1
},
{
"id": "e5dff70f-b55a-4c23-9025-765a7cf19c4a",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
-120
],
"parameters": {
"color": 5,
"width": 220,
"height": 280,
"content": "This prompt is used in both Gemini\u2019s and Claude\u2019s calls to define what information should be extracted and processed."
},
"typeVersion": 1
}
],
"connections": {
"Google Drive": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"Define Prompt": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "Call Claude 3.5 Sonnet with PDF Capabilities",
"type": "main",
"index": 0
},
{
"node": "Call Gemini 2.0 Flash with PDF Capabilities",
"type": "main",
"index": 0
}
]
]
},
"When clicking 'Test workflow'": {
"main": [
[
{
"node": "Define Prompt",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
anthropicApigoogleDriveOAuth2ApigooglePalmApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow enables you to effortlessly extract and analyse key insights from PDF files stored in Google Drive, saving hours of manual review by automating the process with AI-powered processing. It's ideal for researchers, analysts, or business professionals who regularly handle document-heavy tasks and need quick summaries or data pulls without technical expertise. The core step involves uploading a file via the event trigger, followed by the extractFromFile node parsing its content, which then feeds into HTTP requests calling advanced models like Gemini and Claude for intelligent extraction and interpretation.
Use this workflow when dealing with unstructured PDFs requiring targeted information retrieval, such as pulling financial figures from reports or summarising legal documents, especially in event-driven scenarios like incoming file notifications. Avoid it for non-PDF formats or simple text extractions better suited to basic tools, and skip if your files exceed API limits for the AI models. Common variations include customising prompts in the set node for specific queries or adding output nodes to email results directly.
About this workflow
Extractfromfile. Uses manualTrigger, extractFromFile, googleDrive, httpRequest. Event-driven trigger; 11 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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