Outcome 01
Zoom straight to the source
Open the original PDF page focused on the exact check image — magnifier included.
The Transformation
From cryptic PDFs to clean books
See exactly what OrbitBooks does to a real bank statement — no setup, no scripts, no guesswork.
Before
Raw bank export
Chase_Statement_Oct2024.pdf
01Oct 3 WHOLEFDS#1234 - $67.43
02Oct 4 POS DEBIT AMZN.COM $129.99
03Oct 5 Zelle payment rcvd ????
04Oct 6 *PAYROLL DEP —?
05Oct 7 SQ *COFFEE SHOP CA $4.80
…47 more rows · inconsistent formatting
3–5 hours of manual cleanup per client
Before
Raw bank export
Chase_Statement_Oct2024.pdf
01Oct 3 WHOLEFDS#1234 - $67.43
02Oct 4 POS DEBIT AMZN.COM $129.99
03Oct 5 Zelle payment rcvd ????
04Oct 6 *PAYROLL DEP —?
05Oct 7 SQ *COFFEE SHOP CA $4.80
…47 more rows · inconsistent formatting
3–5 hours of manual cleanup per client
After
Structured in OrbitBooks
Transactions · October 2024
| Date | Description | Category | Amount |
|---|---|---|---|
| 10/03 | Whole Foods Market | Groceries | -$67.43 |
| 10/04 | Amazon.com | Office Supplies | -$129.99 |
| 10/05 | Zelle Transfer In | Income | +$850.00 |
| 10/06 | Payroll Deposit | Payroll | +$4,200.00 |
| 10/07 | Blue Bottle Coffee | Meals | -$4.80 |
Every extracted row stays linked to its source for review.
Source-linkedreview
Balance-provedworkflow
Human-controlleddecisions
The Problem
Manual cleanup is costing you hours you don't have.
The same four problems hit every bookkeeper, every month — and they don't scale.
PDFs are inconsistent
- ·Every bank has a different layout
- ·No standard column order
- ·Data buried in footnotes
CSV exports are broken
- ·Misaligned columns
- ·Truncated descriptions
- ·Wrong currency formats
Manual cleanup wastes hours
- ·3–5 hrs per client per month
- ·Repetitive, error-prone work
- ·No way to scale
Errors create liability
- ·Wrong categories = wrong returns
- ·Missed transactions cause audits
- ·Manual work = human error
Simple 4-Step Process
How OrbitBooks Works
The fastest path from messy bank statement to clean, categorized data. Done in under 3 minutes.
01
Upload Statement
Drop any PDF, CSV, or image — we handle the rest.
02
AI Extracts Data
Every row is read. Dates, amounts, types — all captured.
03
Auto-Categorize
Smart rules auto-tag. You review & confirm.
04
Export Clean Data
CSV or PDF — accountant-ready, instantly.
01
Upload Statement
Drop any PDF, CSV, or image — we handle the rest.
02
AI Extracts Data
Every row is read. Dates, amounts, types — all captured.
03
Auto-Categorize
Smart rules auto-tag. You review & confirm.
04
Export Clean Data
CSV or PDF — accountant-ready, instantly.
Interactive Demo
Real statement. Real extraction.
Watch OrbitBooks pull transactions from an actual Chase statement — then see how smart rules automate categorization at scale.
Statement scanner · sample demo
Reading transaction 1 of 8
Chase_Statement_Oct2024.pdf1 / 3
JPMorgan Chase Bank, N.A.
Member FDIC
Account Number
****4821
Oct 1 – Oct 31, 2024Statement period
Transaction detailAmount
10/01CHASE CREDIT CRD AUTOPAY1,247.33
10/03WHOLEFDS MKT #1024767.43
10/04AMZN Mktp US*RT4K2F1G3129.99
10/05Zelle payment from DOE JOHN850.00
10/07GUSTO PAY 2238484,200.00
10/08SQ *BLUE BOTTLE COFFE4.80
10/10STRIPE TRANSFER2,340.00
10/12COMCAST CABLE COMM189.99
Original document retained
Extracted Transactions
0 / 8 foundDate · description · categoryAmount
Select any extracted row to trace it back to the statement.
Your statement stays in the client account.
The original PDF is saved alongside your transactions — not deleted after processing.
Source Verification
Every transaction links back to its exact line in the original PDF — fully auditable.
Category Reports
Instant breakdowns by category, account, and period — exported in one click.
Two-Tier Rules Engine
Master rules across your firm, client rules for the edge cases — both work together.
Two-Tier Rules Engine
Master Rules + Client Rules
Set master rules that apply across your entire firm, then fine-tune with client-specific rules for individual accounts.
Master RulesAll clients
"STRIPE" in description→ Revenue
"GUSTO" in description→ Payroll
"AMZN" in description→ Office Supplies
Client RulesPer-client
"WHOLEFDS" in description→ Groceries
"COMCAST" in description→ Utilities
Amount > $5,000 · credit→ Owner Investment
Check Reading
It reads the actual check images
Most tools stop at “CHECK #1042 — $1,284.60”. OrbitBooks opens the check picture inside your statement PDF and reads who you actually paid.
Page 3 · check image
5 fields readSUMMIT DESIGN LLC
120 MARKET ST · AUSTIN, TX
Date10/14/2025
PayeeNational GridAmount$1,284.60
One thousand two hundred eighty-four and 60/100
MemoOct utilities
⑆021000021⑆ 4821﹕1042
Cropped straight from the source PDF — nothing retyped, nothing guessed.
Extracted
Matched to registerCheck #1042
Date10/14/2025
PayeeNational Grid
Amount$1,284.60
MemoOct utilities
CategoryUtilities
Page 3 · check image
5 fields readSUMMIT DESIGN LLC
120 MARKET ST · AUSTIN, TX
Date10/14/2025
PayeeNational GridAmount$1,284.60
One thousand two hundred eighty-four and 60/100
MemoOct utilities
⑆021000021⑆ 4821﹕1042
Cropped straight from the source PDF — nothing retyped, nothing guessed.
Extracted
Matched to registerCheck #1042
Date10/14/2025
PayeeNational Grid
Amount$1,284.60
MemoOct utilities
CategoryUtilities
Outcome 02
Its own check ledger
Checks land in a dedicated sub-ledger, categorized by the payee you actually paid.
Outcome 03
Matched to the register
Every check is reconciled against the statement line it cleared on; unmatched items are flagged.
Beyond Extraction
Prepare your books on your terms
For bookkeepers, CPAs, and business owners: reconcile statement rows, map them to numbered accounts, and prepare clear CSV files for review or your accounting system.
Balance verification
Every statement proves out — or it doesn't post.
Beginning balance$12,450.00
+ Credits (14)$21,847.32
− Debits (38)$16,095.86
= Ending balance$18,201.46
Proved to the cent · difference $0.00
If the math doesn't close, the statement holds at review instead of quietly landing wrong numbers in your reports.
Numbered chart of accounts
Clear destinations for your categorized transactions.
1010Operating CheckingAsset
2100Line of CreditLiability
4010Service RevenueRevenue
6280UtilitiesExpense
Build a client chart, link existing categories, and export mapped transactions with statement evidence. Work independently or with your bookkeeper or CPA.
Pivot P&L and balance sheet
Category by month, print-ready in one click.
| Category | Jan | Feb | Mar |
|---|---|---|---|
| Service Revenue | 24,180 | 26,940 | 25,310 |
| Payroll | 11,200 | 11,200 | 11,650 |
| Utilities | 1,284 | 1,190 | 1,342 |
| Rent | 3,400 | 3,400 | 3,400 |
Excel export Print layout
