AI Bank Statement Parser

Send any bank statement to Excel, your accounting software, or your underwriting pipeline — no typing.

Drop a bank statement here, or browse

AI auto-detects every field. Parse 10 pages free — no credit card.

PDF, image, Word, Excel · up to 30 MB
Any formatAny layoutLands in your tools10 pages free

10 pages free · No credit card

Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Gemini 2.5 Pro
Powered by Google's most accurate multimodal model
99%
Extraction accuracy on production documents
9 sources
Independent benchmarks cited in our research
30 sec
From signup to first extraction

What is a bank statement?

A bank statement is the monthly record a bank issues listing every transaction, opening and closing balances, and account metadata. Parsing a bank statement turns that PDF into a structured transaction table you can drop into Excel, an accounting system, or an underwriting model.

How bank statement parsing works

Three steps from a bank statement in your inbox to clean rows in your tools.

Step 1

Send your statements

Drag-and-drop, upload via API, or forward via email. Works on PDF statements from any bank globally.

Step 2

Parsli reads every field

Account number, period, opening + closing balance, and every transaction with date, description, amount, and running balance.

Step 3

Clean data lands in your tools

Push transactions into Excel, QuickBooks, Xero, an underwriting model, or your reconciliation pipeline.

What Parsli reads from a bank statement

Every field below ships out of the box. Add custom fields anytime — Parsli reads them too.

Account info

FieldTypeExample
Bank nameTextChase Bank, N.A.
Account holderTextAcme Inc.
Account numberText****4821
Account typeTextBusiness Checking

Statement period

FieldTypeExample
Period startDate2026-02-01
Period endDate2026-02-29
Opening balanceAmount$24,712.00
Closing balanceAmount$31,488.51

Transactions

FieldTypeExample
DateDate2026-02-14
DescriptionTextACH credit — Stripe payouts
Debit / CreditAmount+$1,247.00
Running balanceAmount$25,959.00
Reference / check #TextREF-77124

Send bank statement data anywhere

One-click integrations to the tools your team already uses. No middleware, no glue scripts.

Who parses bank statements with Parsli

Bank statements live in different parts of the business — Parsli works for all of them.

Underwriters & lenders

Score loan applications faster — every transaction, balance, and inflow/outflow available as structured data in your model.

Learn more

Bookkeepers & accountants

Reconcile client books in hours, not days. Match statements to ledger entries automatically.

Learn more

Financial advisors

Analyze brokerage and bank statements without retyping a single line; surface cash flow and investment patterns.

Learn more

Why pick Parsli for bank statement parsing

Three reasons teams move off manual entry, templates, or traditional OCR.

vs. manual data entry

A clerk at $25/hr enters about 6 bank statements per hour. Parsli reads thousands per hour at $0.08/page — and doesn't transpose digits at 4pm on a Friday.

vs. template-based tools

Template tools (Docparser, Mailparser, Parseur) need a new template every time a sender changes their bank statement layout. Parsli reads any layout on day one — nothing to maintain.

vs. traditional OCR (Textract, Tesseract)

Traditional OCR gives you raw text. Parsli reads the meaning — the actual fields you care about — and outputs structured rows your downstream systems can use. See the full LLM OCR vs traditional OCR comparison.

Get started in 30 seconds

No demo call. No sales cycle. Drop a bank statement and you'll see structured data the same minute.

1

Sign up free

10 pages free to start. No credit card.

2

Drop your document

Email, PDF, scan, or photo — any format works.

3

Get clean data

Lands in QuickBooks, Xero, Excel, Google Sheets, or your API.

Start free

10 pages free · No credit card

Frequently asked questions

Can Parsli extract individual transactions?
Yes. Use the table field type to extract each transaction with date, description, debit/credit amount, and running balance — one row per transaction.
Does it work with any bank?
Yes. Parsli's AI adapts to any bank statement layout — major US banks, EU banks, regional credit unions — without bank-specific configuration.
Can I automate statement processing?
Yes. Forward bank statement emails to a Parsli inbox or POST PDFs via API. Statements flow through to your underwriting pipeline or accounting system automatically.
What is a bank statement parser?
A bank statement parser reads bank statements the way a person would — visually, layout-aware — and outputs structured data fields ready to flow into your accounting software, CRM, or spreadsheet. Unlike template-based OCR, an AI bank statement parser doesn't need a fresh template every time a sender changes their layout.
Can I process bank statements in bulk?
Yes. Three options: drag-and-drop multi-file upload in the dashboard, forward a batch of emails to your unique Parsli inbox address, or POST documents via the REST API. The output is the same structured JSON regardless of how the bank statements arrived.
Does Parsli work with bank statements in other languages?
Yes. Parsli runs on Google Gemini 2.5 Pro, which is multilingual out of the box — over 100 languages including all major European, Asian, Arabic, and Cyrillic scripts. Extraction accuracy is highest in English but stays usable across the rest.

Read more about bank statement parsing