LedgerMill

The Problem

Every finance team knows the pain: stacks of bank statement PDFs that need to be manually keyed into spreadsheets for reconciliation. Each bank uses a different layout, different date formats, and different column structures. It's tedious, error-prone, and expensive — yet it happens at every company, every month.

What LedgerMill Does

LedgerMill is an intelligent document parsing engine purpose-built for financial statements. Upload a PDF and the platform automatically identifies the issuing bank, extracts every transaction, validates the data against reported balances, and delivers clean tabular output ready for reconciliation.

Core capabilities:

• Auto-detection — Identifies the bank and statement type (credit, debit, consolidated) without manual configuration
• Precision extraction — Pulls transaction dates, descriptions, amounts, and running balances using bank-specific parsing logic
• Built-in validation — Cross-checks extracted totals against statement balances so you know the output is accurate before it hits your books
• Multi-format output — CSV, JSON, Excel, or direct API integration with your accounting platform
• Scanned document support — OCR processing handles image-based and older printed statements
• Batch processing — Drop a folder of statements for bulk month-end reconciliation

Who It's For

Accounting firms, bookkeepers, CFO offices, and fintech platforms that process bank statements on behalf of clients. Anyone doing manual data entry from bank PDFs into spreadsheets or ERP systems.

Roadmap

• Phase 1 — Core parsing engine with support for top 10 US banks
• Phase 2 — Web portal with upload → review → approve → export workflow
• Phase 3 — API access for platform integrations and white-label partners
• Phase 4 — Reconciliation matching engine and anomaly detection