Bank Statement CSV Normalizer for Bookkeepers
Drop in CSV exports from different banks and get one clean, consistently formatted file ready to import into your accounting software.
Economics
- Pricing example
- $15 for 50 file conversions (first 3 files free)
- Daily math
- 1.5 packs a day on average x $15 = about $22/day, which is roughly 45 packs a month.
- Target if you hit the daily math
- Target: $450 - $700 / month if the daily math is hit
Audience and urgency
Audience: Freelance bookkeepers, small accounting practices and SME finance admins whose clients bank with several different banks.
Urgency: Every bank exports dates, debit/credit columns and descriptions in its own layout, so bookkeepers re-format statements by hand before each import. It is repetitive monthly work for every client, and a wrong date format or swapped sign creates reconciliation errors later.
MVP scope
- ✓ Upload one or more CSV/XLSX statement exports; auto-detect delimiter, header row, date format, and split debit/credit vs single signed-amount columns
- ✓ Column-mapping screen that saves a 'bank profile' so the next file from the same bank maps itself
- ✓ Output to a standard Date / Description / Amount / Reference file plus user-defined templates, with a preview of the first 20 rows
- ✓ Validation report: unparsed dates, duplicate rows, and an opening/closing balance check when balance columns exist
- ✓ Credit packs via Stripe Checkout; files are parsed in the browser and never uploaded or stored
Omitted features
- - Do NOT parse PDF statements in Day 1 (CSV/XLSX only)
- - Do NOT connect to bank feeds or open-banking APIs
- - Do NOT auto-categorise transactions or post to accounting software
Suggested stack
- Frontend
- React + Tailwind CSS + Papa Parse + SheetJS
- Backend or API
- Browser-side parsing; one serverless function + Supabase table for credit balances only
- Payments
- Stripe Checkout (one-time credit packs)
- Hosting
- Vercel or Netlify (free tier to start)
Repository metadata
- Blueprint ID
bank-csv-normalizer- Category ID
b2b_micro_utility- Monetization ID
usage_pack
Day-one distribution
Channels
- Reddit r/Bookkeeping and r/Accounting
- Bookkeeper communities on Facebook and LinkedIn (post a how-to, not an ad)
- Accounting-software community forum threads about CSV import errors (answer the question; link only where allowed)
Reddit strategy
Share a free cheat sheet of the most common CSV import problems (date formats, negative signs, merged columns) and mention the free 3-file tier.
Cold outreach or directory hook
Email 20 small bookkeeping practices from public directories offering a free 20-file pack in exchange for feedback on which banks to support next.
Search keywords
bank statement csv converter, convert bank csv for xero import, fix bank csv date format
One-shot master prompt
Build a browser-only "Bank CSV Normalizer" web app in React with Tailwind CSS. Core requirements: 1. Drag-and-drop upload for CSV and XLSX (Papa Parse + SheetJS). Auto-detect delimiter, header row, and date format (DD/MM/YYYY, MM/DD/YYYY, YYYY-MM-DD, '05 Oct 2026'), and whether amounts are split into debit/credit columns or a single signed column. 2. Mapping screen: dropdowns map source columns to Date, Description, Amount, Reference, Balance. Save the mapping as a named bank profile in localStorage and auto-apply it when a file with the same headers is uploaded. 3. Output: a normalized table preview (first 20 rows) and download as CSV in the standard 4-column format or a custom template the user defines (column order, date format, sign convention). 4. Validation panel listing unparsed dates, duplicate rows, empty amounts, and an opening/closing balance check when a balance column exists. 5. Credits: 3 free files, then a Stripe Checkout button for a 50-file pack ($15); a small serverless endpoint verifies the purchase and returns a credit balance tied to the buyer's email. File contents never leave the browser.
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Published 2026-10-08.