This workflow follows the Chainllm → Google Drive 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 →
{
"id": "sUIPemKdKqmUQFt6",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Extract text from PDF and image using Vertex AI (Gemini) into CSV",
"tags": [],
"nodes": [
{
"id": "f60ef5f9-bc08-4cc9-804e-697ae6f88b9b",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
980,
920
],
"parameters": {
"options": {},
"modelName": "models/gemini-1.5-pro-latest"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "81d3f7b8-20cb-4aac-82a9-d4e8e6581105",
"name": "Get PDF or Images",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
220,
420
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1HOeRP5iwccg93UPUYmWYD7DyDmRREkhj",
"cachedResultUrl": "https://drive.google.com/drive/folders/1HOeRP5iwccg93UPUYmWYD7DyDmRREkhj",
"cachedResultName": "Actual Budget"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "fe9a8228-7950-4e2c-8982-328e03725782",
"name": "Route based on PDF or Image",
"type": "n8n-nodes-base.switch",
"position": [
480,
420
],
"parameters": {
"rules": {
"rules": [
{
"value2": "application/pdf",
"outputKey": "pdf"
},
{
"value2": "image/",
"operation": "contains",
"outputKey": "image"
}
]
},
"value1": "={{$json.mimeType}}",
"dataType": "string"
},
"typeVersion": 2
},
{
"id": "f62b71e5-af17-4f85-abff-7cee5100affc",
"name": "Download PDF",
"type": "n8n-nodes-base.googleDrive",
"position": [
740,
320
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Get PDF or Images').item.json.id }}"
},
"options": {},
"operation": "download",
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"name": "<your credential>"
}
},
"executeOnce": true,
"typeVersion": 3
},
{
"id": "fa99fbcf-1353-410d-a0db-48cea1178a76",
"name": "Download Image",
"type": "n8n-nodes-base.googleDrive",
"position": [
740,
740
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Get PDF or Images').item.json.id }}"
},
"options": {},
"operation": "download",
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"name": "<your credential>"
}
},
"executeOnce": true,
"retryOnFail": false,
"typeVersion": 3,
"alwaysOutputData": true
},
{
"id": "e4979746-44bb-493e-b5eb-f9646b510888",
"name": "Extract data from PDF",
"type": "n8n-nodes-base.extractFromFile",
"position": [
980,
320
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "6549c335-e749-4b95-b77d-096a5e77af5e",
"name": "Send data to A.I.",
"type": "n8n-nodes-base.httpRequest",
"position": [
1180,
320
],
"parameters": {
"url": "https://openrouter.ai/api/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are given a bank statement.{{encodeURIComponent($json.text)}}. Read the PDF and export all the transactions as CSV. Add a column called category and based on the information assign a category name. Return only the CSV data starting with the header row.\"\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2,
"alwaysOutputData": false
},
{
"id": "42341f03-c9fc-4290-963e-1a723202a739",
"name": "Convert to CSV",
"type": "n8n-nodes-base.convertToFile",
"position": [
1400,
320
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "bb446447-3f46-47e7-96a2-3fc720715828",
"name": "Upload to Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
1640,
320
],
"parameters": {
"name": "={{$today}}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
"cachedResultName": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1Zo4OFCv1qWRX1jo0VL_iqUBf4v0fZEXe",
"cachedResultUrl": "https://drive.google.com/drive/folders/1Zo4OFCv1qWRX1jo0VL_iqUBf4v0fZEXe",
"cachedResultName": "CSV Exports"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "843bc9c1-79a6-4f42-b9ee-fbec5f30b18d",
"name": "Convert to CSV2",
"type": "n8n-nodes-base.convertToFile",
"position": [
1360,
740
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "6404bf65-3a7e-4be9-9b7f-98a23dca2ffd",
"name": "Upload to Google Drive1",
"type": "n8n-nodes-base.googleDrive",
"position": [
1640,
740
],
"parameters": {
"name": "={{$today}}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
"cachedResultName": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1Zo4OFCv1qWRX1jo0VL_iqUBf4v0fZEXe",
"cachedResultUrl": "https://drive.google.com/drive/folders/1Zo4OFCv1qWRX1jo0VL_iqUBf4v0fZEXe",
"cachedResultName": "CSV Exports"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "5dd5771f-6ccb-47ab-acbb-d6cbec60d22b",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
220,
-40
],
"parameters": {
"width": 589.0376569037658,
"height": 163.2468619246862,
"content": "## How to extract PDF and image text into CSV using n8n (without manual data entry)\n\nThis workflow will extract text data from PDF and images, then store it as CSV.\n\n[\ud83d\udca1 You can read more about this workflow here](https://rumjahn.com/how-to-create-an-a-i-agent-to-analyze-matomo-analytics-using-n8n-for-free/)"
},
"typeVersion": 1
},
{
"id": "37416630-9b52-4ce6-98d0-1bdd39ff0d6b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
160
],
"parameters": {
"color": 4,
"width": 248.11715481171547,
"height": 432.7364016736402,
"content": "## Get PDF or image\nYou need to create a new folder inside Google Drive for uploading your PDF and images.\n\nOnce you create a folder, you need to add your Google cloud user by going to Share -> Add user. The user email should be like: n8n-server@n8n-server-435232.iam.gserviceaccount.com"
},
"typeVersion": 1
},
{
"id": "3ab10f17-de8f-4263-aef8-cc2fb090ffe5",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1120,
52.864368048917754
],
"parameters": {
"color": 5,
"height": 446.3929762816575,
"content": "## Send to Openrouter\nYou need to set up an Openrouter account to use this. It sends the data to openrouter to extract text.\n\nUse Header Auth. Name is \"Authorization\" and value is \"Bearer {API token}\"."
},
"typeVersion": 1
},
{
"id": "e966f95c-c54e-4d11-895d-d5f75c53aca5",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
540
],
"parameters": {
"color": 6,
"width": 399.0962343096232,
"height": 517.154811715481,
"content": "## Vertex AI for image recogniztion\nWe send the photo to Vertex AI to extract text. You'll need to activate Vertex AI and add the correct rights to your Google cloud credentials. \n- Enable Vertex API\n- Add vertex to user account"
},
"typeVersion": 1
},
{
"id": "daa3ab66-fa14-4792-96d0-3bcbeffd5d60",
"name": "Vertex A.I. extract text",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
980,
740
],
"parameters": {
"text": "=Extract the transactions from the image",
"messages": {
"messageValues": [
{
"message": "=You are given a screenshot of payment transactions. Read the image and export all the transactions as CSV. Add a column called category and based on the information assign a category name. Return only the CSV data starting with the header row."
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.4
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "80635382-3d1c-4e46-a753-84b033cfc3a7",
"connections": {
"Download PDF": {
"main": [
[
{
"node": "Extract data from PDF",
"type": "main",
"index": 0
}
]
]
},
"Convert to CSV": {
"main": [
[
{
"node": "Upload to Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Download Image": {
"main": [
[
{
"node": "Vertex A.I. extract text",
"type": "main",
"index": 0
}
]
]
},
"Convert to CSV2": {
"main": [
[
{
"node": "Upload to Google Drive1",
"type": "main",
"index": 0
}
]
]
},
"Get PDF or Images": {
"main": [
[
{
"node": "Route based on PDF or Image",
"type": "main",
"index": 0
}
]
]
},
"Send data to A.I.": {
"main": [
[
{
"node": "Convert to CSV",
"type": "main",
"index": 0
}
]
]
},
"Extract data from PDF": {
"main": [
[
{
"node": "Send data to A.I.",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Vertex A.I. extract text",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Vertex A.I. extract text": {
"main": [
[
{
"node": "Convert to CSV2",
"type": "main",
"index": 0
}
]
]
},
"Route based on PDF or Image": {
"main": [
[
{
"node": "Download PDF",
"type": "main",
"index": 0
}
],
[
{
"node": "Download Image",
"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.
googleApigooglePalmApihttpHeaderAuth
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
Easily extract structured text from PDFs and images stored in Google Drive, transforming it into a clean CSV file for seamless data analysis or import into tools like spreadsheets. This workflow suits teams handling document-heavy processes, such as legal reviews or research data compilation, by automating tedious manual entry. The key step involves routing files through Vertex AI's Gemini model via the lmChatGoogleGemini integration, which intelligently parses content before converting it to CSV.
Use this when you receive new files in Google Drive folders and need quick, AI-powered text extraction without custom coding, especially for mixed PDF and image batches. Avoid it for highly complex layouts requiring specialised OCR beyond Gemini's capabilities, or when processing non-Google Drive sources. Common variations include adding email notifications post-CSV generation or chaining to database uploads for ongoing data pipelines.
About this workflow
Extract text from PDF and image using Vertex AI (Gemini) into CSV. Uses lmChatGoogleGemini, googleDriveTrigger, googleDrive, extractFromFile. Event-driven trigger; 16 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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