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Bank Statement PDF Parser Examples

Code examples for parsing USA bank statement PDFs to Excel/CSV.

Supported Banks

  • Chase — 3 formats (2015-2017, 2018-2023, 2024+)
  • Bank of America — Checking, Savings, Credit Card
  • Wells Fargo — Checking, Savings, Credit Card
  • Capital One — Checking, Savings, Credit Card

The Problem

Banks limit CSV downloads (Chase: 18 months, Wells Fargo: 12 months). For historical data (5+ years), you need to parse PDF statements.

Generic PDF tools (Tabula, PDFTables) achieve ~70% accuracy because:

  • Multiple format versions per bank
  • No headers in some PDFs
  • Column positions vary by format and year

Code Examples

Detect Chase Format Version

function detectChaseFormat(text: string): 'v1' | 'v2' | 'v3' {
  // Priority 1: Check for v2 signature
  if (text.includes('TRANSACTION DETAIL')) return 'v2';

  // Priority 2: Check for v3 signature
  if (text.includes('DEPOSITS AND ADDITIONS')) return 'v3';

  // Priority 3: Fallback to v1
  return 'v1';
}

Extract Text with pdfjs-dist

import * as pdfjsLib from 'pdfjs-dist';

async function extractText(pdfPath: string): Promise<string> {
  const doc = await pdfjsLib.getDocument(pdfPath).promise;
  let fullText = '';

  for (let i = 1; i <= doc.numPages; i++) {
    const page = await doc.getPage(i);
    const content = await page.getTextContent();
    const text = content.items.map(item => item.str).join(' ');
    fullText += text + '\n';
  }

  return fullText;
}

Full Solution

For production-ready parsing with 99% accuracy across all 4 banks:

https://bank-parser.com/?utm_source=github&utm_medium=referral&utm_campaign=readme

- 99% accuracy (tested on 500+ PDFs)
- Chase, Bank of America, Wells Fargo, Capital One
- Checking, Savings, and Credit Card statements
- All formats 2009-2025
- QuickBooks-ready 17-field Excel output
- Free trial: 200 operations

Tech Stack

- Node.js + TypeScript
- pdfjs-dist (Mozilla PDF.js)

License

MIT

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