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

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Case Study I'm too lazy to record every transaction for my expense tracking. Since all my expenses are digital, I just extract the transactions from bank PDF statem...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.googledrivetrigger, n8n-nodes-base.switch, n8n-nodes-base.googledrive, n8n-nodes-base.extractfromfile, n8n-nodes-base.httprequest, n8n-nodes-base.converttofile, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Keith Rumjahn.

Original n8n.io source

1.1 Workflow description

Title: Extract text from PDF and image using Vertex AI (Gemini) into CSV
Workflow name: Extract text from PDF and image using Vertex AI (Gemini) into CSV

Case Study

I'm too lazy to record every transaction for my expense tracking. Since all my expenses are digital, I just extract the transactions from bank PDF statements and screenshots into CSV to import into my budgeting software.

Click here to watch Youtube tutorial

What this workflow does

Upload your PDF or screenshots into Google Drive
It then passes the PDF/image to Vertex Gemini to do some A.I. image recognition
It then sends the transactions as CSV and stores it into another Google Drive folder

Setup

Set up 2 google drive folders. 1 for uploading and 1 for the output.
Input your Google Drive crendtials
Input your Vertex Gemini credentials

How to adjust it to your needs

You can upload other types of documents for information extraction.
You can extract any text data from any image or PDF
You can adjust the A.I. prompt to do different things

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 2 - Get PDF or Images

Type / Role: n8n-nodes-base.googleDriveTrigger - googleDriveTrigger
Config choices: Version 1

Block 3 - Route based on PDF or Image

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 2

Block 4 - Download PDF

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 5 - Download Image

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 6 - Extract data from PDF

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 7 - Send data to A.I.

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 8 - Convert to CSV

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 9 - Upload to Google Drive

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 10 - Convert to CSV2

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 11 - Upload to Google Drive1

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 12 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Vertex A.I. extract text

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.4

3. Summary Table

Workflow	Extract text from PDF and image using Vertex AI (Gemini) into CSV
Complexity	advanced
Nodes	16
Categories	Document Extraction, AI Summarization
Author	Keith Rumjahn
Published	08 Dec 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2614/2614.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Extract text from PDF and image using Vertex AI (Gemini) into CSV do?

Case Study I'm too lazy to record every transaction for my expense tracking. Since all my expenses are digital, I just extract the transactions from bank PDF statem...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Keith Rumjahn

9 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.googledrivetrigger n8n-nodes-base.switch n8n-nodes-base.googledrive n8n-nodes-base.extractfromfile n8n-nodes-base.httprequest n8n-nodes-base.converttofile n8n-nodes-base.stickynote

Complexity

advanced

Published 08 Dec 2024

Likes 0

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Install path: /data/workflows/2614/2614.json

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

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Case Study

What this workflow does

Setup

How to adjust it to your needs

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Block 2 - Get PDF or Images

Block 3 - Route based on PDF or Image

Block 4 - Download PDF

Block 5 - Download Image

Block 6 - Extract data from PDF

Block 7 - Send data to A.I.

Block 8 - Convert to CSV

Block 9 - Upload to Google Drive

Block 10 - Convert to CSV2

Block 11 - Upload to Google Drive1

Block 12 - Sticky Note

Block 13 - Sticky Note1

Block 14 - Sticky Note2

Block 15 - Sticky Note3

Block 16 - Vertex A.I. extract text

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions