Bank Statement OCR Workflow

Description

This n8n workflow automates bank statement processing and data extraction using advanced OCR and AI technology. It transforms physical or digital bank statements into structured financial data that can be easily analyzed and stored. The system handles form submissions to process bank statements efficiently, extracting transaction details with high accuracy using Google Gemini's AI capabilities.

The workflow follows this step-by-step process:

1. Trigger Phase: Web form submission for bank statement upload or fetch from Google Drive folder
2. File Processing: Receives and processes uploaded bank statement files
3. AI Analysis: Uses Google Gemini's vision capabilities to extract text and data from bank statement images/PDFs
4. Data Extraction: Processes the AI output to structure transaction data into standardized format using JSON schema
5. Data Transformation: Splits out individual transactions for separate processing
6. Storage: Appends extracted transaction data to Google Sheets for further analysis and reporting

Benefits for Users

• Automated Data Extraction – Eliminates manual data entry by automatically reading and processing bank statements with AI-powered OCR technology using Google Gemini
• Structured Financial Data – Converts unstructured bank statement information into clean, organized transaction records ready for analysis and reporting
• Cloud-Based Processing – Leverages Google's advanced AI models for accurate text extraction from various document formats
• Comprehensive Transaction Capture – Extracts all key transaction details including dates, amounts, payees, descriptions, reference numbers, and check numbers
• Time Efficiency – Dramatically reduces processing time from hours to minutes for bank statement analysis and data entry tasks
• Scalable Solution – Handles multiple bank statement processing requests simultaneously through web form submissions