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AI-Powered Bank Statement Analysis & Transaction Categorization

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Created by: vinci-king-01 || vinci-king-01

vinci-king-01

Last update

Last update 5 days ago

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How it works

This workflow automatically processes bank statements from various formats and extracts structured transaction data with intelligent categorization using AI.

Key Steps

  1. File Upload - Accepts bank statements via webhook upload (PDF, Excel, CSV formats).
  2. Smart Format Detection - Automatically routes files to appropriate processors (PDF text extraction or spreadsheet parsing).
  3. AI-Powered Extraction - Uses GPT-4 to extract account details, transactions, and balances from statement data.
  4. Data Processing & Categorization - Cleans, validates, and automatically categorizes transactions into expense categories.
  5. Database Storage - Saves processed data to PostgreSQL database for analysis and reporting.
  6. API Response - Returns structured summary with transaction counts, expense totals, and category breakdowns.

Set up steps

Setup time: 8-12 minutes

  1. Configure OpenAI credentials - Add your OpenAI API key for AI-powered data extraction.
  2. Set up PostgreSQL database - Connect your PostgreSQL database and create the required table structure.
  3. Configure webhook endpoint - The workflow provides a /upload-statement endpoint for file uploads.
  4. Customize transaction categories - Modify the AI prompt to include your preferred expense categories.
  5. Test the workflow - Upload a sample bank statement to verify the extraction and categorization process.
  6. Set up database table - Ensure your PostgreSQL database has a bank_statements table with appropriate columns.

Features

  • Multi-format support: PDF, Excel, CSV bank statements
  • AI-powered extraction: GPT-4 extracts account details and transactions
  • Automatic categorization: Expenses categorized as groceries, dining, gas, shopping, utilities, healthcare, entertainment, income, fees, or other
  • Data validation: Cleans and validates transaction data with error handling
  • Database storage: PostgreSQL integration for data persistence
  • API responses: Clean JSON responses with transaction summaries and category breakdowns
  • Smart routing: Automatic format detection and appropriate processing paths