Fintech Bank Statement OCR Automation

🚀 Introduction

The problem arises because bank statements typically come in PDF or image format. Hence, extracting structured information is difficult and time-consuming to accomplish.

Developers need an efficient way to convert such files into a structured format to create scalable software solutions.

⚠️ The Problem

Currently, possible options for developers include:

• Manual data input
• Rule-based parsing of the content
• Format-dependent code snippets

All of these solutions are hard to maintain, not scalable, and unreliable due to format changes.

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💡 The Solution: OCR API

With modern technology, developers have access to various OCR APIs that allow extracting structured information from documents, including:

• Bank statement transaction information
• Account holder's information
• Balance summaries

Hence, there's no need to implement multiple parsers manually.

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⚙️ How It Works

Typical use case flow consists of the following steps:

1. Upload the bank statement (image or PDF document)
2. Process it with an OCR API service
3. Parse out structured data
4. Proceed with analysis or storing the results

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👨‍💻 Example Implementation

const formData = new FormData();
formData.append("file", statementFile);

const response = await fetch("API_ENDPOINT", {
  method: "POST",
  body: formData
});

const data = await response.json();

console.log(data.transactions);