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Extract text from PDF and image using Vertex AI (Gemini) into CSV

16 nodes · lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile

Engine
n8n
Nodes
16
Trigger
scheduled/triggered
Source file
1444_Extractfromfile_Converttofile_Automation_Webhook.json

Workflow flow

IntegrationsLmChatGoogleGeminiGoogle DriveSwitchExtractFromFileHTTPConvertToFileChainLlm@n8n/n8n-nodes-langchain.lmChatGoogleGemini@n8n/n8n-nodes-langchain.chainLlm
100%
application/pdfimage/

Google Gemini Chat Model

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

TRIGGER

Get PDF or Images

Google Drive

Route based on PDF or Image

Switch

Download PDF

Google Drive

Download Image

Google Drive

Extract data from PDF

ExtractFromFile

Vertex A.I. extract text

@n8n/n8n-nodes-langchain.chainLlm

Send data to A.I.

HTTP

Convert to CSV2

ConvertToFile

Convert to CSV

ConvertToFile

Upload to Google Drive1

Google Drive

Upload to Google Drive

Google Drive

12 steps · flows top to bottom, branches left to right

Browse by integration

lmChatGoogleGeminigoogleDriveswitchextractFromFilehttpRequestconvertToFilechainLlm
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Extract text from PDF and image using Vertex AI (Gemini) into CSV (16-node n8n automation, lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile, chainLlm) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

Built in n8n, "Extract text from PDF and image using Vertex AI (Gemini) into CSV" chains 16 nodes to move data between lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile, chainLlm. 16 nodes · lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 16-node flow from scratch.
  • Benchmark it against your current lmChatGoogleGemini integration to spot missing steps or redundant nodes.
  • Study how data moves from lmChatGoogleGemini to googleDrive before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the lmChatGoogleGemini stack.

Example output

Imported into n8n, "Extract text from PDF and image using Vertex AI (Gemini) into CSV" exposes 16 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile, chainLlm. Reconnect the lmChatGoogleGemini credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Extract text from PDF and image using Vertex AI (Gemini) into CSV" JSON into a plain-English runbook, node by node. It can flag where lmChatGoogleGemini rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile, chainLlm. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Extract text from PDF and image using Vertex AI (Gemini) into CSV" — extract lmChatGoogleGemini IDs and secrets into environment variables without changing the 16-node structure.

Frequently asked questions

How do I import "Extract text from PDF and image using Vertex AI (Gemini) into CSV" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Extract text from PDF and image using Vertex AI (Gemini) into CSV" use?
It uses: lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile, chainLlm. The flow diagram above shows how each service connects across the 16 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own lmChatGoogleGemini and googleDrive credentials in n8n after import.
What trigger type does "Extract text from PDF and image using Vertex AI (Gemini) into CSV" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Extract text from PDF and image using Vertex AI (Gemini) into CSV" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for lmChatGoogleGemini, googleDrive, switch, extractFromFile, httpRequest, convertToFile, chainLlm.

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