Curated

(5/5)

Transcribing Bank Statements To Markdown Using Gemini Vision AI

Try Me Out! This workflow converts a bank statement to markdown, faithfully capturing the details using the power of Vision Language Models ("VLMs"). The resulting markdown can then be parsed again by your standard LLM to extract data such as identifying all deposit table rows in the document. This workflow is able to handle both downloaded PDFs as well as scanned PDFs. Be sure to protect sensitive data before running this workflow. Need Help? Join the [Discord](https://discord.com/invite/XPKe

Integrations Used (7)

Workflow Structure (12 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Google Drive

Get Bank Statement

Http Request

Split PDF into Images

Compression

Extract Zip File

Code

Images To List

Sort

Sort Pages

Edit Image

Resize Images For AI

Langchain.lm Chat Google Gemini

Google Gemini Chat Model

Langchain.chain Llm

Transcribe to Markdown

Aggregate

Combine All Pages

Langchain.lm Chat Google Gemini

Google Gemini Chat Model1

Langchain.information Extractor

Extract All Deposit Table Rows

Node Types:

trigger

action

default

http

code

transform

Requires credentials

Prerequisites

Required Credentials (2)

Google Drive

Used by: Get Bank Statement

Docs

Google Palm

Used by: Google Gemini Chat Model, Google Gemini Chat Model1

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~35 min

Score: 57/100

Custom Code

7 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "490493d1-e9ac-458a-ac9e-a86048ce6169",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -700,
        260
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "116f1137-632f-4021-ad0f-cf59ed1776fd",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
...