Bank Statement to Excel & QuickBooks CSV Converter | No Merged Cells | CleanStmt

What

CleanStmt is a document-to-spreadsheet extraction tool that converts bank statements from PDFs, scans, or screenshots into structured Excel files and QuickBooks-ready CSVs. It appears aimed at CPAs, bookkeepers, and reconciliation-heavy finance workflows that need transaction data without merged cells or manual cleanup. Based on the page, its positioning is a specialized converter for accounting-ready statement extraction rather than a general OCR tool.

Features

• Bank statement extraction to Excel — Pulls dates, descriptions, amounts, and balances from statement files into separated spreadsheet columns to reduce manual entry.
• QuickBooks-ready CSV export — Produces CSV output formatted for QuickBooks import, which helps avoid an extra reformatting step.
• Zero merged cells output — Keeps every transaction as an independent row, making the file easier to reconcile, sort, and import into accounting systems.
• Support for many input types and formats — Accepts PDFs, scans, screenshots, and pasted images, with the page claiming support across 1000+ statement formats worldwide.
• Privacy and handling controls — The page states 256-bit SSL in transit, in-memory processing, no human review, and automatic file deletion after one hour.

Helpful Tips

• Validate extraction on edge cases — Even with AI-based parsing, teams should spot-check unusual statement layouts, multi-line descriptions, and transfer entries before import.
• Test with the target bookkeeping workflow — If QuickBooks CSV is the main use case, confirm field mapping and date/debit-credit formatting against the specific import process your team uses.
• Use it where cleanup time is the bottleneck — The clearest value is in converting messy bank statement files into row-based data suitable for reconciliation and bookkeeping.
• Be conservative beyond stated scope — The page also mentions invoice-related use cases, but it provides stronger evidence for bank statement conversion than for broader document processing depth.