Private beta · first 50 bookkeepers free through 2026

11:43 pm on a Tuesday. Bancolombia. ICBC. Schwab. Three banks, three continents, one inbox. Zero will import. You start typing.

Stop hand-typing the bank statements your accounting system won't read.

BankToBooks turns any PDF statement into a clean, structured CSV in under a minute — ready for QuickBooks, Xero, Sage, NetSuite, or whatever spreadsheet you actually live in. Built for bookkeepers reconciling formats QuickBooks Live Bank Feed and Plaid won't auto-import. Globally — not just the top 20 US banks.

banktobooks.app · live preview
Input · PDFbancolombia · scanned · 4 pages
EXTRACTO DE CUENTA
Bancolombia · ACME LLC · 01–30 abril 2026
FechaDetalleValor
01/04Pago Proveedor X-250,000
03/04Cobro Cliente A1,450,000
07/04Comisión POS-8,500
12/04Pago Nómina-890,000
Page 2 of 4Continued →
Multi-columnScannedSpanishWon't auto-import
Output · structured CSVbancolombia.csv
ABC
1datedescriptionamount
22026-04-01Pago Proveedor X-250000
32026-04-03Cobro Cliente A1450000
42026-04-07Comisión POS-8500
52026-04-12Pago Nómina-890000
6
Ready to importQBO · Xero · Sage · NetSuite · Excel
ISO datesNumeric amountsUTF-8Audit-ready
  • LATAM banks · Bancolombia, Banamex, BBVA México, Itaú, Santander Brasil
  • European banks · Deutsche Bank, BNP Paribas, BBVA Spain, ING, Société Générale
  • Asian banks · ICBC, HDFC India, DBS Singapore, Mizuho, BOC Hong Kong
  • Middle East & Africa · Emirates NBD, ADIB, Standard Bank, Equity Bank
  • US regional banks & credit unions
  • Brokerage statements · Schwab, Fidelity, Vanguard
  • Fintech & global payments · PayPal, Stripe, Venmo, Wise, Payoneer
  • Property management · Buildium, AppFolio, Rentec
  • Anything else QuickBooks Live Bank Feed won’t auto-import
Imports cleanly into
QuickBooksXeroSage / Sage IntacctNetSuiteFreshBooksWaveZoho BooksMicrosoft DynamicsExcel / Google SheetsCustom ERPs · internal dashboardsQuickBooksXeroSage / Sage IntacctNetSuiteFreshBooksWaveZoho BooksMicrosoft DynamicsExcel / Google SheetsCustom ERPs · internal dashboards
The engine

Built on a track record, not a pitch deck.

The OCR pipeline behind BankToBooks isn’t a new experiment. It has been processing financial documents in production for years — invoices, statements, ledgers, multi-page reports, scanned and digital, multilingual.

100K+documents and reports parsed in production workloads
17K+asset and inventory records tracked across systems
< 60saverage parse time per statement, multi-page or scanned
$0charged during private beta — first 50 ride free
Built for

The bookkeeper who…

  • Reconciles ICBC statements every quarter for a client’s Shanghai subsidiary.
  • Manages an immigrant client whose statements arrive in four languages.
  • Has 30 hispanic clients and DocuClipper handles 0 of their banks.
  • Just lost 4 hours hand-typing a Schwab brokerage tax PDF.
How it works

Three steps. No integrations to set up. No demos to schedule.

01

Drop the PDF

Bank statement, brokerage report, fintech export, property management report. Multi-page, scanned, rotated — doesn’t matter.

02

We parse it cleanly

Tables, amounts, dates, descriptions extracted in under a minute. No template configuration, no integration setup.

03

Import anywhere

Standard CSV with date, description, amount, balance. Imports cleanly into QuickBooks, Xero, Sage, NetSuite, or just opens in Excel.

Built different on purpose

Why this isn't another LLM wrapper or PDF reader.

Bookkeepers have tried Claude. They've tried Adobe. They've tried Excel Power Query. They keep coming back to manual entry. Here's why.

vs Claude / ChatGPT

95% accuracy is unusable in accounting.

Anyone can ask an LLM to read one statement. Almost no bookkeeper can audit 30 a month from a chat window. A single hallucination — $1,250.50 transcribed as $1,250.00 — becomes a Saturday hunting the gap at year-end.

  • Format-specific parsers, not generic extraction
  • Deterministic output you can re-run and get the same answer
  • Every cell traceable to a page coordinate — auditable
  • Bulk: 30 PDFs in 5 minutes, not 30 prompts
  • Client data stays segmented — no model training, ever
vs Adobe / Power Query

Generic PDF tools break on the statements that matter.

Adobe Acrobat and Excel Power Query work on simple PDFs born digital. They fail on scanned, multi-column, multi-page, bilingual, or non-US-format statements — exactly the ones bookkeepers struggle with. So you get 70% extracted and clean up the other 30% by hand.

  • Scanned, rotated, photographed PDFs handled natively
  • Multi-column LATAM, multi-page brokerage statements
  • Bilingual / non-Latin character set support
  • No template configuration — drop and go
  • Output already shaped for QBO / Xero / Sage import
vs DocuClipper / Lido

We start where the incumbents stop.

DocuClipper is excellent on the top 20 US national banks plus UK, Canada, Australia, and South Africa. We don't compete there. We optimize for the long tail they leave on the table — and the bookkeeper's desk.

  • LATAM · Bancolombia, BBVA México, Itaú, Santander BR
  • Continental Europe · Deutsche, BNP, BBVA Spain, ING
  • Asia · ICBC, HDFC India, DBS, Mizuho, BOC
  • Middle East · Emirates NBD, ADIB, Qatar National
  • Fintech long tail · PayPal, Stripe, Wise, Payoneer
Your week

Same Tuesday night. Different math.

BeforeToday
  • Time per statement25–40 min
  • Statements per month15–25
  • Hours lost monthly6–14 h
  • Effective rate on this work~$0/h

Because clients won’t pay $80/h for typing.

After BankToBooksBeta
  • Time per statement< 60 sec
  • Statements per monthunlimited
  • Hours saved monthly5–13 h
  • Hours redirected to billable workall of them

At $80/h, that's $400–1,040 per month back in your pocket.

Manual entry$640/mo8 h × $80/h, unbillable
BankToBooks$99/moat standard plan, post-beta
Net to you+$541/moplus your evenings back
Three surfaces · one engine

Built to scale absurdly. Pick the surface that fits your workflow.

The same deterministic OCR engine ships through three interfaces. Solo bookkeepers drag-and-drop in a web app. Mid- size firms script with a clean REST API. AI-first workflows call it through an MCP server. One pipeline, three price points, infinite throughput.

Q3 2026 · Shipping01

Web app

Drop-and-parse. For solo bookkeepers and small practices.

  • Drag PDFs · download CSV
  • Direct push connectors (QuickBooks, Xero)
  • Bulk upload · folder sync
  • Audit log · 30-day retention
$49–99/month per bookkeeper
Q1 2027 · Next02

REST API

Programmatic. For mid-size firms scripting their own workflows.

  • POST /v1/parse — single or bulk
  • Webhooks on parse complete
  • Rate limits up to 10K parses / day
  • Idempotent · audit-grade response trace
$299–999/month per firm
Q2 2027 · Building03

MCP server

Agentic. For Claude, ChatGPT, Cursor, and AI-first workflows that call BankToBooks from inside the chat.

  • "Reconcile this Bancolombia statement" — one chat turn
  • Native to Claude Desktop · ChatGPT · Cursor
  • Streaming responses · auditable tool calls
  • White-label option for AI-native firms
Customenterprise tier · contact us
Honest disqualifiers

BankToBooks isn't for you if…

We'd rather lose your signup today than waste your time and ours. Read these before joining.

  • All your clients bank with Chase, Wells Fargo, or Bank of America — QuickBooks Live Bank Feed and DocuClipper handle you better.
  • You process under 5 statements per month — the math doesn't work for you. Stay manual, save the $99.
  • You need SOC 2 Type II in writing today, not next year — Lido or Ocrolus already certified. We're a year out.
  • You want a chat-based, conversational workflow — we're a deterministic parser, not an assistant. The MCP server is coming for that.
Plain-English FAQ

The questions you’re about to type into the email.

  • Why pay for this when Claude, ChatGPT, or Adobe Acrobat can read PDFs?

    Anyone can ask a chatbot to read one statement. Almost no bookkeeper can audit 30 statements a month from a chat window — and a single $0.01 hallucination on a dollar amount becomes a four-hour Saturday hunting a reconciliation difference. BankToBooks is the difference between “an LLM kind of did it” and “this is deterministic, auditable, bulk-processed, and pushable to QuickBooks.” Format-specific parsers tuned per bank (not generic extraction). Output you can trace to a page coordinate. Bulk: 30 PDFs in five minutes, not 30 prompts. Direct push connectors. Same engine in the app, the REST API, and the MCP server. 95% accuracy is unusable in accounting — the people trying ChatGPT for statements learn this when month-end breaks.

  • Does this only work with QuickBooks?

    No. We output a plain, well-structured CSV (date, description, amount, balance, optional category). It imports cleanly into QuickBooks Online and Desktop, Xero, FreshBooks, Sage, Wave, NetSuite, Zoho Books — or opens in Excel and Google Sheets. Pick the system you already use.

  • How is this different from DocuClipper or Lido?

    DocuClipper is excellent on the top 20 US national banks, plus UK, Canada, Australia, and South Africa. We don’t try to compete there. Where they leave bookkeepers re-typing: continental Europe, LATAM, Asia, Middle East, Africa, fintech exports with quirks, property management reports, brokerage tax PDFs. We optimize for that long tail. Earlier beta slots vote on which format ships first.

  • What if my client’s bank or format isn’t supported yet?

    You name it in the waitlist form. We add it within 14 days. If we miss that window, you keep free access — even past the first 50 slots.

  • Is my client data safe?

    Statements are encrypted at rest, processed in isolated workers, and deleted after 30 days unless you opt to keep them. We do not sell data. We do not train models on your statements. SOC 2 Type II is in progress.

  • Do I need to integrate anything?

    No. Upload PDF, download CSV, drag into your accounting system. Direct push connectors (QuickBooks, Xero) are on the roadmap once enough beta users ask.

  • When can I actually use it?

    Beta opens to the first 50 bookkeepers on the list, in order, starting July 2026. Earlier slots get more shaping power over which formats ship first.

  • What does it cost after the beta?

    Plans land between $49 and $99 per bookkeeper per month, depending on monthly statement volume. The first 50 stay free through end of 2026 regardless of volume.

  • What’s shipping after the bank parsers?

    Direct push connectors to QuickBooks and Xero. A clean REST API and webhooks for accountants who script their workflows. An MCP server so assistants like Claude and ChatGPT can call BankToBooks directly — “reconcile this Bancolombia statement against my client’s books” without leaving the chat. We ship in the order beta users vote.

Private beta

First 50 on the list get free access through 2026.

In exchange for honest feedback on which formats we ship — what works, what breaks, and which to add next. Earlier slots shape what banks ship first.

Expected pricing after beta: $49–99 per month per bookkeeper, depending on monthly statement volume. No charges during beta.

By joining, you agree to our Terms and Privacy Policy.