Bank Parser

Hey IH! 👋

I just launched Bank Parser - a Chase Bank PDF to QuickBooks converter for CPAs.

The Problem:

CPAs waste 45-60 minutes manually entering each Chase statement into QuickBooks. Why? Chase limits CSV downloads to 18 months. For historical data (5+ years), they manually type thousands

of transactions from PDFs.

My Solution:

Chase-specialized parser using pdfjs-dist (Mozilla PDF.js):

- 99% accuracy (vs 70% generic PDF converters)

- Converts PDF → QuickBooks-ready Excel in 5 seconds

- Supports all Chase formats (v1/v2/v3, 2015-2025)

- 16-field standardized format (IRS Schedule C compliant)

Tech Stack:

- Backend: Node.js + Express + TypeScript

- Parser: pdfjs-dist (structure-based format detection)

- Queue: Bull + Redis (async processing)

- Frontend: Next.js 15 + React 19

- Database: Supabase PostgreSQL

Current Status:

- Free trial: 200 operations (3-4 statements)

- Tested on 23 PDFs (1,123 transactions)

- Payment: Lemon Squeezy (pay-as-you-go, NO subscriptions)

Looking for feedback:

- Built for CPAs, not end consumers - is this niche too narrow?

- Should I expand to other banks or stay Chase-specialized?

- Any CPAs here who'd try it?

Try it: https://bank-parser.com

Happy to answer questions about the parsing challenges! 🚀