📊 Bank Statement Analysis

💰 Bank Statement Processing & Financial Analysis Platform

A web-based application built with PHP and MySQL for uploading, processing and analyzing bank statements in multiple formats including PDF, CSV and TXT.

The system extracts transaction data from uploaded statements and converts raw financial information into structured data and useful reports.

🚀 Project Overview

Bank Statement Analysis is designed to simplify the process of analyzing large amounts of financial transaction data.

             📄 Bank Statement
                    │
        ┌───────────┼───────────┐
        │           │           │
        ▼           ▼           ▼
       PDF         CSV         TXT
        │           │           │
        └───────────┼───────────┘
                    │
                    ▼
             📥 File Upload
                    │
                    ▼
             🔍 Data Parser
                    │
                    ▼
             🧹 Data Processing
                    │
                    ▼
             🗄️ MySQL Database
                    │
                    ▼
             📊 Analysis Engine
                    │
                    ▼
             📈 Reports

✨ Key Features

📤 Statement Upload

Upload bank statements in multiple formats:

📄 PDF
📊 CSV
📝 TXT

🔍 Statement Parsing

The application processes uploaded statements and extracts important transaction information.

Example data:

Transaction Date
Description
Reference Number
Debit
Credit
Balance
Transaction Type

📊 Financial Analysis

The system can analyze transaction data to provide useful financial insights.

Analysis Areas

Total Credits
Total Debits
Transaction Count
Opening Balance
Closing Balance
Monthly Transactions
Debit / Credit Summary
Transaction Categories
Account Activity

📈 Reporting

Generate structured reports from processed bank statement data.

Bank Statement
      │
      ▼
Transaction Processing
      │
      ▼
Data Analysis
      │
      ├── Credit Summary
      ├── Debit Summary
      ├── Transaction Summary
      └── Balance Analysis
      │
      ▼
Financial Report

🗄️ Database

The application uses MySQL for storing processed transaction information and application data.

PHP Application
      │
      ▼
Data Processing
      │
      ▼
MySQL Database
      │
      ▼
Transactions
      │
      ▼
Reports / Analysis

🛠️ Tech Stack

Backend

PHP 8+
MySQL
Server-side processing

Frontend

HTML5
CSS3
JavaScript
Responsive UI

Document Processing

PDF Parsing
CSV Processing
TXT Processing
Structured Data Extraction

Development

Composer / PHP dependencies
Git
GitHub
MAMP / XAMPP / Apache

📁 Project Structure

bank_statement_analyis/
│
├── backend/
│   ├── config/
│   ├── controllers/
│   ├── services/
│   ├── models/
│   └── ...
│
├── docs/
│   ├── PROJECT_DOCUMENTATION.pdf
│   ├── PROJECT_DOCUMENTATION.md
│   └── Bank_Statement_Analysis_Presentation.pptx
│
├── .gitignore
└── README.md

The exact internal structure may vary depending on the current implementation.

⚙️ Requirements

Before running the project, install:

PHP 8+
MySQL 5.7+ / 8+
Apache / Nginx
Composer
MAMP / XAMPP / LAMP

🚀 Installation

1. Clone the Repository

git clone https://github.com/Nandhasv05/bank_statement_analyis.git

2. Navigate to the Project

cd bank_statement_analyis

3. Install Dependencies

If Composer dependencies are configured:

composer install

🔐 Environment Configuration

Create your local configuration based on the project requirements.

Example:

APP_ENV=local
APP_DEBUG=true

DB_HOST=localhost
DB_PORT=3306
DB_DATABASE=bank_statement_analysis
DB_USERNAME=root
DB_PASSWORD=

Never commit database passwords, API keys or other sensitive credentials to GitHub.

🗄️ Database Setup

Create the MySQL database:

CREATE DATABASE bank_statement_analysis;

Configure the database connection according to your environment.

▶️ Running the Application

If using MAMP/XAMPP:

htdocs/
   │
   └── bank_statement_analyis/

Then access the application through your local Apache server.

Example:

http://localhost/bank_statement_analyis/

📄 Supported File Processing

PDF

The application processes PDF bank statements and extracts transaction information.

PDF
 │
 ▼
PDF Parser
 │
 ▼
Extract Text
 │
 ▼
Identify Transactions
 │
 ▼
Structured Data

CSV

CSV statements can be processed directly into structured transaction records.

CSV File
 │
 ▼
Read Rows
 │
 ▼
Validate Columns
 │
 ▼
Process Transactions
 │
 ▼
MySQL

TXT

Text-based bank statements can also be parsed and processed.

🔄 Transaction Processing

Raw Statement
      │
      ▼
File Validation
      │
      ▼
Statement Parser
      │
      ▼
Transaction Extraction
      │
      ▼
Data Validation
      │
      ▼
Database Storage
      │
      ▼
Financial Analysis
      │
      ▼
Report Generation

📊 Example Analysis

The application can transform raw transactions such as:

Date        Description       Debit     Credit     Balance
----------------------------------------------------------
01-08-2026  Salary              -       25,000     25,000
03-08-2026  Rent              5,000        -       20,000
05-08-2026  Grocery           2,000        -       18,000
10-08-2026  Transfer              -       5,000     23,000

into useful summaries:

Total Credits     : ₹30,000
Total Debits      : ₹7,000
Transactions      : 4
Closing Balance   : ₹23,000

📚 Project Documentation

Detailed project documentation is available inside the docs directory.

Documentation

📄 PROJECT_DOCUMENTATION.pdf
📝 PROJECT_DOCUMENTATION.md
📊 Bank_Statement_Analysis_Presentation.pptx

🧪 Testing

Recommended testing tools:

Browser Developer Tools
MySQL Client
PHP Error Logs
Postman (where applicable)

🔒 Security Considerations

Because this project handles financial information, security is important.

Recommended practices:

Validate uploaded files
Restrict allowed file extensions
Limit upload size
Sanitize user input
Use prepared SQL statements
Protect database credentials
Secure uploaded files
Implement authentication
Avoid exposing sensitive transaction data
Keep .env and credentials outside public repositories

🚀 Future Improvements

💡 Future AI Analysis

One planned improvement is intelligent transaction analysis.

Bank Statement
      │
      ▼
Transaction Extraction
      │
      ▼
AI Classification
      │
      ├── Food
      ├── Shopping
      ├── Travel
      ├── Bills
      ├── Salary
      └── Transfers
      │
      ▼
Financial Insights
      │
      ▼
User Dashboard

👨‍💻 Developer

Nandhakumar S V

Full Stack Developer

Core Technologies

Frontend
├── React
├── Next.js
├── React Native
├── TypeScript
└── JavaScript

Backend
├── PHP
├── Node.js
├── Express.js
└── REST APIs

Database
├── MySQL
└── PostgreSQL

Cloud / DevOps
├── AWS
├── Docker
├── Nginx
└── CI/CD

🌐 Portfolio

https://nandhakumarsvdev.netlify.app/

💼 Freelance Development

BuildNexDev

I also develop custom software solutions for businesses through BuildNexDev.

Services include:

🌐 Business Websites
💻 Web Applications
📱 Mobile Applications
🛠️ Admin Dashboards
🔌 REST APIs
💳 Payment Integration
☁️ Cloud Deployment
🔧 Maintenance

🌐 https://buildnexdev.in/

🔗 Connect With Me

📊 Turning raw financial data into meaningful insights.

Built with PHP + MySQL

⭐ If you like this project, consider giving it a star!

Name		Name	Last commit message	Last commit date
backend		backend
docs		docs
.gitignore		.gitignore
README.md		README.md

Latest commit

History

Folders and files

Repository files navigation