banking-statements
Deterministic parsing, normalization, and validation of U.S. banking statements across institutions, account families, and historical statement formats.
banking-statements is a typed Python library for turning supported bank
statements into normalized Python domain objects while preserving the source
evidence needed to understand how each result was produced.
The library is designed around isolated statement processors. Each processor owns a known statement family and grammar, allowing support for additional banks and statement revisions to be added without destabilizing processors already proven against historical statements.
The project emphasizes strict and deterministic behavior. Unsupported statement formats, ambiguous processor matches, malformed recognized data, unknown statement behavior, and reconciliation failures during archive validation are surfaced explicitly rather than silently ignored or guessed around.
Version 0.6.0 expands the package to four supported institutions:
Chase
Wells Fargo
American Express
Discover
Implemented processors cover consumer and business deposit accounts, credit cards, home-equity and business lines of credit, and personal loans. The processors are developed against private historical statement corpora while public tests remain fully synthetic and contain no private financial data.
The package intentionally focuses on answering:
What did this bank statement say?
It is not a budgeting application, bank API client, accounting system, merchant-categorization engine, personal finance manager, tax engine, database layer, or Beancount-specific importer.
- PyPI: https://pypi.org/project/banking-statements/
- Source: https://github.com/fifoa-labs/banking-statements
- License: MIT
Current Status
Current release:
banking-statements 0.6.0
Supported Python versions:
Python 3.11
Python 3.12
Python 3.13
Python 3.14
Current implemented statement support:
Chase
credit card
modern statement layouts
historical statement layouts
co-branded statement layouts
observed formats spanning 2019–2026
checking
Chase Total Checking statements
multi-page transaction detail
wrapped transaction descriptions
observed formats spanning 2019–2026
home-equity line of credit
advances and initial funding
payments and additional-principal payments
fee assessments and fee payments
finance-charge accrual
funds-applied and funds-reversed allocation behavior
payoff and credit-balance statements
zero-activity statements
observed formats spanning 2020–2022
Wells Fargo
checking
credit card
business checking
business credit card
business line of credit
American Express
personal credit card
business credit card
business checking
business line of credit
personal loan
observed archive coverage spanning 2013–2026
Discover
checking
Cashback Checking
Cashback Debit
legacy and current statement layouts
observed formats spanning 2018–2026
credit card
legacy transaction/post-date layouts
current single-date transaction layouts
payments and credits
purchases
fees
interest
observed formats spanning 2019–2025
Current normalized domain includes:
StatementSource
SourceEvidence
StatementPeriod
StatementBalanceSummary
ParsedStatement
AccountType
AccountIdentity
TransactionEvent
TransactionDirection
Supported account types currently include:
CHECKING
SAVINGS
CREDIT_CARD
LINE_OF_CREDIT
LOAN
The complete private statement archive currently validates:
1963 / 1963 PASS
reconciliation=PASS
difference=0.00
That archive total consists of the previously proven Chase and Wells Fargo corpora plus:
American Express
692 / 692 PASS
Discover checking
200 / 200 PASS
Discover credit card
70 / 70 PASS
Quality gates include Ruff, strict mypy, pytest, 100% branch coverage, distribution validation, typed-wheel validation, clean-wheel installation, and full private-archive smoke validation.
Installation
Install from PyPI:
pip install banking-statements
With uv:
uv add banking-statements
Or for development:
git clone https://github.com/fifoa-labs/banking-statements.git
cd banking-statements
uv sync --dev
Basic Usage
The package exposes generic domain primitives plus implemented statement processors for supported Chase, Wells Fargo, American Express, and Discover statement families.
from datetime import date
from decimal import Decimal
from pathlib import Path
from banking_statements import (
StatementPeriod,
StatementSource,
TransactionDirection,
TransactionEvent,
)
source = StatementSource(
path=Path("statement.pdf"),
sha256="example-sha256",
)
period = StatementPeriod(
start=date(2026, 7, 1),
end=date(2026, 7, 31),
)
transaction = TransactionEvent(
date=date(2026, 7, 15),
amount=Decimal("42.17"),
direction=TransactionDirection.DEBIT,
description="Sample purchase",
)
Stable processor identifiers are intentionally account-family specific. Examples include:
chase.credit_card.v1
chase.checking.v1
chase.heloc.v1
discover.checking.v1
discover.credit_card.v1
Processor identity is part of source evidence and should remain stable for a supported grammar.
Chase Credit Card Support
Chase credit-card statements are handled through:
chase.credit_card.v1
The processor supports compatible modern, historical, and co-branded Chase credit-card statement grammars observed in the private development corpus from 2019 through 2026.
The implementation intentionally tolerates only known PDF text-extraction
artifacts demonstrated by real statements. Examples include variants such as
Opening/Closing Date versus the extracted form O\pening/Closing Date, and New BalanceversusN`ew Balance`. Broad fuzzy matching and generic character
de-duplication are intentionally avoided.
Historical statements may expose full account numbers while newer statements
may expose masked numbers. AccountIdentity preserves the display value stated
by the source document and separately exposes the last four digits when
available.
Supported activity includes:
purchases
payments
merchant credits
fees
interest charges
balance transfers
My Chase Loan activity
promotional adjustments
reversals
Normalized amounts are positive magnitudes and TransactionDirection carries
the economic direction.
Chase Checking Support
Chase checking statements are handled through:
chase.checking.v1
The processor has been validated against a private chronological corpus of 182 statements spanning observed formats from 2019 through 2026:
182 / 182 PASS
reconciliation=PASS
difference=0.00
The parser supports statement identity, reporting periods, beginning and ending balances, transaction-detail tables, multi-page activity sections, wrapped transaction descriptions, deposits, withdrawals, ACH activity, card payments, transfers, fees, credits, cross-year transaction dates, debit/credit normalization, and statement reconciliation.
Checking transaction rows are reconstructed from statement text shaped like:
DATE DESCRIPTION AMOUNT BALANCE
The signed statement amount is interpreted from the checking account's perspective:
positive amount
→ CREDIT
negative amount
→ DEBIT
Normalized TransactionEvent.amount values remain positive magnitudes while
TransactionDirection carries the economic direction.
Chase checking statements can include description continuations on later physical lines. The processor reconstructs those logical rows before economic normalization rather than silently discarding continuation content.
The running-balance column remains parser evidence from the source statement; the normalized public transaction model intentionally stays focused on the transaction date, amount, direction, description, and optional source evidence.
Chase HELOC Support
Chase home-equity line-of-credit statements are handled through:
chase.heloc.v1
The processor has been validated against a private chronological corpus of 28 monthly statements spanning observed formats from 2020 through 2022:
28 / 28 PASS
reconciliation=PASS
difference=0.00
The processor normalizes debt-increasing activity such as initial funding, balance advances, assessed fees, and gross finance charges as debits. Debt-reducing activity such as additional-principal payments, fee payments, and funds actually applied to the account is normalized as credits.
Chase HELOC statements expose payment-allocation rows that are not always independent economic transactions. The processor distinguishes payment allocation detail, funds applied, and funds reversed so statement bookkeeping is not double-counted.
Finance charges are parsed from the statement's finance-charge calculation section rather than inferred from the closing summary alone. This matters when interest accrues and is paid within the same statement cycle, including payoff cycles where the closing summary may report no remaining interest even though finance charges accrued during the period.
The processor also supports zero-activity statements and credit-balance statements where the reported balance is negative.
Wells Fargo Support
Wells Fargo support covers:
checking
credit card
business checking
business credit card
business line of credit
The processors normalize supported consumer and business statements into the same domain used by every other institution.
Wells Fargo support includes account identity, statement periods, opening and closing balances, transaction reconstruction, debit/credit normalization, source evidence, and account-type-aware reconciliation.
The Wells Fargo business line-of-credit processor uses layout-aware PDF evidence where column position carries transaction direction. This is an intentional example of the package treating PDF layout as source evidence when flattened text alone is insufficient to preserve financial meaning.
American Express Support
American Express support was introduced for 0.5.0 and is included in
0.6.0.
Supported account families are:
personal credit card
business credit card
business checking
business line of credit
personal loan
The complete American Express private archive currently validates:
692 / 692 PASS
reconciliation=PASS
difference=0.00
The archive includes statement evidence spanning 2013 through 2026 and covers multiple historical layouts and extraction grammars.
American Express credit-card support reconstructs payments, credits, charges, fees, and interest while preserving source context such as card-ending sections and supported continuation detail.
Business checking support normalizes deposit-account activity and uses asset-account reconciliation:
opening balance
+ credits
- debits
= closing balance
Business line-of-credit and personal-loan support use debt-account reconciliation:
opening balance
+ debits
- credits
= closing balance
The personal-loan work introduced first-class LOAN account support to the
generic domain rather than encoding loan semantics as a special case inside one
processor.
Discover Checking Support
Discover checking statements are handled through:
discover.checking.v1
The processor has been validated against two private account archives totaling 200 monthly statements:
200 / 200 PASS
reconciliation=PASS
difference=0.00
Observed statement formats span 2018 through 2026.
The supported archive includes the evolution from:
CASHBACK CHECKING
to:
CASHBACK DEBIT
and the transition from legacy DiscoverBank.com statement branding to current
Discover.com branding.
The processor supports:
legacy account-ending identity
current full account-number identity
statement-period parsing
beginning and ending balances
multi-page ACCOUNT ACTIVITY sections
shared activity headers across subsections
Deposits and Credits
Checks
ATM and Debit Card Withdrawals
Electronic Withdrawals
fees and other withdrawals
service charges
zero-activity statements
Discover checking activity historically used:
Eff. Date
Bus. Date
and later:
Eff. Date
Syst. Date
The normalized transaction date uses the statement's posting/system date when available because that is the date Discover identifies as the date the transaction is generally processed and posted.
Discover Credit Card Support
Discover credit-card statements are handled through:
discover.credit_card.v1
The private Discover credit-card archive currently validates:
70 / 70 PASS
reconciliation=PASS
difference=0.00
Observed formats span 2019 through 2025.
Two major statement grammars are supported.
Legacy statements expose separate transaction and posting dates:
Trans. Date
Post Date
Newer statements expose a single transaction-date column.
For legacy statements, the normalized transaction date prefers the reported posting date. For newer statements, the reported transaction date is resolved relative to the statement closing date. This intentionally allows statement activity whose printed transaction date precedes the nominal billing-period start when the statement itself reports that activity in the current cycle.
Supported economic activity includes:
payments and credits
purchases
fees
interest
Fee and interest activity is normalized from the statement's period totals. This avoids double-counting when the same interest amount is also broken out by interest category elsewhere in the statement.
The processor also tolerates a proven PDF extraction artifact where text from an adjacent rewards column can appear after a complete transaction amount. That adjacent-column text is preserved in raw source evidence but is not silently appended to the transaction description.
Statement Balances
Supported statements expose generic balance checkpoints:
StatementBalanceSummary(
opening_balance=...,
closing_balance=...,
)
These values are parsed as stated by the bank. They are not rewritten to force reconciliation.
A parser is responsible for understanding the statement grammar. Reconciliation then independently verifies whether normalized economic activity explains the reported balance movement.
Reconciliation
Reconciliation is optional and separate from parsing.
from banking_statements.reconciliation import reconcile_statement
result = reconcile_statement(statement)
Reconciliation is account-type aware.
For debt accounts such as credit cards, lines of credit, and loans:
opening balance
+ parsed debits
- parsed credits
= expected closing balance
For asset accounts such as checking and savings:
opening balance
+ parsed credits
- parsed debits
= expected closing balance
The result includes parsed debit and credit totals, expected closing balance,
difference, and a reconciled boolean. A mismatch does not rewrite the parsed
statement.
The private archive smoke tooling is stricter by default and treats a reconciliation mismatch as a smoke failure so incomplete or misdirected activity is surfaced during development.
Reconciliation is therefore not a parser shortcut. It is an independent validation layer used to prove that the extracted financial activity is economically complete.
Financial Values
Financial values use Decimal.
from decimal import Decimal
from banking_statements import to_decimal
assert to_decimal("123.45") == Decimal("123.45")
assert to_decimal("$1,234.56") == Decimal("1234.56")
assert to_decimal("(42.17)") == Decimal("-42.17")
Floating-point arithmetic is intentionally avoided for normalized financial values.
Normalized transaction amounts use positive magnitudes. Economic direction is
represented separately by TransactionDirection.
Source Evidence
Normalized statement data should remain traceable to the source statement.
from pathlib import Path
from banking_statements import SourceEvidence, StatementSource
source = StatementSource(
path=Path("statement.pdf"),
sha256="example-sha256",
)
evidence = SourceEvidence(
source=source,
page=2,
section="Account Activity",
raw_text="07/15 SAMPLE PURCHASE 42.17",
processor="example.monthly",
sequence=14,
)
Evidence can preserve information such as:
source file identity
page
section
raw text
processor
sequence
This provenance is important for auditing parser behavior, debugging future statement revisions, and verifying reconciliation decisions.
Architecture
The implemented processing pipeline is:
PDF
↓
PdfStatementTextReader
↓
page-aware, layout-aware StatementText
↓
institution detection
↓
processor selection
↓
identity and statement-balance parsing
↓
logical transaction rows
↓
focused economic normalization
↓
ParsedStatement
↓
optional reconciliation
The architecture separates document mechanics from normalized financial meaning.
The domain layer should not depend on:
PDF layouts
regular expressions
specific banks
Django
databases
Beancount
application frameworks
Institution-specific extraction behavior belongs in processors. Generic financial meaning belongs in the domain.
Processor Model
Processors represent known statement grammars.
Conceptually:
class StatementProcessor(Protocol):
@property
def name(self) -> str: ...
def match(
self,
text: StatementText,
) -> ProcessorMatch: ...
def parse(
self,
source: StatementSource,
text: StatementText,
) -> ParsedStatement: ...
Processors should be narrow enough that previously proven behavior remains stable as the package grows.
A materially different statement structure should generally receive a new processor rather than turning an existing processor into an increasingly broad universal parser.
Multiple proven historical layouts can remain inside one processor when they belong to the same statement family and can be distinguished explicitly without weakening the processor's failure behavior.
Institution Detection
Institution detection uses explicit marker signatures derived from observed statement evidence.
A signature should be specific enough to identify the institution without claiming unrelated documents from the same company.
Institution detection and processor selection are separate steps:
statement text
↓
institution signature
↓
institution
↓
processor registry
↓
exact supported account-family processor
New signatures should be added because an observed document requires them, not because a broader marker seems theoretically convenient.
Deterministic Processor Selection
ProcessorRegistry requires exactly one compatible processor.
0 matches
→ UnsupportedStatementError
1 match
→ selected
2 or more matches
→ AmbiguousProcessorError
There is intentionally no "first matching processor wins" behavior.
Processor registration order must not silently resolve ambiguous statement formats.
Development Philosophy
The central maintenance rule is:
Proven behavior stays stable.
When a future statement fails, the failure should first be classified.
New institution?
→ add institution detection and processor support
Same institution, new account family?
→ add an isolated account-family processor
Same institution and account family, materially different structure?
→ add or explicitly support a proven grammar boundary
Same processor, new economic capability?
→ add a focused capability module
Same capability, legitimate new grammar?
→ extend only that capability
Unknown or ambiguous input?
→ fail loudly
The package should grow as a library of proven document grammars rather than as one parser that attempts to understand every possible statement.
Strict Failure Policy
A parser success should mean that the known statement grammar was understood.
The package should not silently discard or guess around:
unknown transaction rows
unknown required sections
ambiguous processor matches
ambiguous amounts
unsupported date grammar
malformed recognized rows
unresolved statement identity
invalid normalized output
unexplained reconciliation differences during archive validation
Specific failures are preferred over generic parse errors because they make future statement support easier to develop and audit.
The normal development response to a new archive failure is to inspect the evidence first, not to make the parser broadly more permissive.
Logical Rows
PDF extraction often does not produce one physical line per financial transaction.
Real statements may contain:
wrapped descriptions
continuation lines
multi-line ACH details
fragmented columns
inherited dates
page breaks inside tables
adjacent-column bleed
When required, processors reconstruct logical rows before attempting to normalize economic meaning.
physical extracted lines
↓
logical statement rows
↓
economic normalization
This keeps layout reconstruction separate from transaction interpretation.
Institution Support
Current implemented support:
Chase
credit card
checking
home-equity line of credit
Wells Fargo
checking
credit card
business checking
business credit card
business line of credit
American Express
personal credit card
business credit card
business checking
business line of credit
personal loan
Discover
checking
credit card
A bank, account family, or statement format is listed as supported only after its processor has been implemented and validated against real statement evidence.
The complete private development archive currently contains 1963 supported statements, all of which pass extraction, institution detection, processor selection, parsing, normalization, and strict reconciliation with zero difference.
Private Statement Corpus
Real financial statements used during development are maintained outside the repository.
The expected local structure is:
private-data/
└── statements/
├── chase/
├── wellsfargo/
├── american-express/
├── discover/
└── ...
private-data/ is excluded from Git.
Real statements, account numbers, transaction histories, names, addresses, transaction references, balances, and other private financial data must never be committed to the repository or distributed in package artifacts.
Public tests use generic synthetic statement data.
Synthetic fixtures should preserve only the structural grammar required to prove parser behavior. They should never copy real names, account numbers, addresses, merchant references, transaction identifiers, balances, or other private values from the development archive.
Statement Inspection
Development includes tooling for inspecting the exact text extracted from a PDF statement.
make inspect-statement \
file="private-data/statements/example/statement.pdf"
Inspect a specific page:
make inspect-statement \
file="private-data/statements/example/statement.pdf" \
page=2
Optionally limit displayed text:
make inspect-statement \
file="private-data/statements/example/statement.pdf" \
head=3000
Parser behavior should be developed against the text actually returned by the package's PDF extraction layer rather than assumptions based only on how a PDF looks visually.
Archive Smoke Testing
Institution processors are validated against private historical statement archives.
The development workflow is intentionally chronological:
01 PASS
02 PASS
03 PASS
04 FAIL
Development stops at the first failure.
That statement is inspected, the failure is classified from actual extracted evidence, and the smallest correct capability or grammar extension is added.
A generic synthetic regression test is then added before the archive resumes.
Typical usage:
make smoke-archive \
folder="private-data/statements/example"
Resume from a particular archive position:
make smoke-archive \
folder="private-data/statements/example" \
from=4
Limit the run:
make smoke-archive \
folder="private-data/statements/example" \
limit=10
Continue after failures when mapping an archive:
make smoke-archive \
folder="private-data/statements/example" \
continue=1
A strict smoke PASS means:
document extraction succeeded
institution detection succeeded
processor selection succeeded
statement identity parsed
statement period parsed
opening and closing balances parsed
logical activity reconstructed
transactions normalized
debit/credit direction assigned
statement reconciliation succeeded
Run a single statement and print normalized transactions:
uv run python -m scripts.archive_smoke \
private-data/statements/example/statement.pdf \
--show-transactions
Allow reconciliation mismatches for investigation without turning them into smoke failures:
uv run python -m scripts.archive_smoke \
private-data/statements/example \
--allow-reconciliation-failures
Include a traceback while investigating:
uv run python -m scripts.archive_smoke \
private-data/statements/example/statement.pdf \
--show-transactions \
--allow-reconciliation-failures \
--traceback
The private corpus is a local integration and regression corpus. It is never a source of public fixture data.
Development Workflow for New Statement Families
A new account family is developed from evidence rather than from assumptions.
The typical loop is:
1. Run the private archive.
2. Stop at the first failure.
3. Inspect the exact extracted statement text.
4. Compare the failure with existing processor architecture.
5. Implement the narrowest correct grammar or economic rule.
6. Add a generic synthetic regression test.
7. Run formatting, typing, and 100% branch coverage.
8. Re-run the exact failing statement.
9. Resume the archive from that position.
10. Repeat until the complete corpus reconciles exactly.
A broader archive scan can be useful for identifying major historical layout generations, but fixes are still made one proven grammar boundary at a time.
The goal is not merely to make every PDF parse. The goal is to understand why each supported statement reconciles.
Development
Install development dependencies:
uv sync --dev
Format:
make format
Check formatting:
make format-check
Lint:
make lint
Type check:
make typecheck
Run tests:
make test
Run tests in parallel:
make test-fast
Run branch coverage:
make coverage
The project maintains:
100% branch coverage
Quality Gates
Run the normal validation suite:
make check
Run the CI-equivalent validation pipeline:
make ci
Before preparing a release:
make release-check
The release check validates:
formatting
linting
mypy
100% branch coverage
distribution build
distribution metadata
typed wheel contents
clean-wheel installation
A release should also be smoke-validated against the complete supported private archive before publication.
Build
Build the source distribution and wheel:
make build
Validate distributions:
make check-dist
Inspect wheel contents:
make wheel-contents
Install the built wheel into a clean environment:
make install-wheel
The distributed wheel includes:
banking_statements/py.typed
so type information is available to downstream type checkers.
Dependency Management
The project uses uv.
Synchronize the development environment:
make sync
Refresh the lockfile:
make lock
Upgrade dependencies:
make upgrade
uv.lock is committed so CI and local release validation can use reproducible
locked environments.
After changing package metadata or dependencies, refresh the lockfile before committing when required:
uv lock
Python Support
Supported Python versions:
Python 3.11
Python 3.12
Python 3.13
Python 3.14
CI validates the full supported version matrix.
Typing
banking-statements is a typed package.
The project uses strict mypy checking during development:
make typecheck
The wheel includes the PEP 561 marker:
banking_statements/py.typed
Scope
The package is intentionally narrow.
It aims to provide:
bank statement parsing
statement normalization
source and layout evidence
processor selection
strict statement validation
account-type-aware reconciliation
typed Python domain objects
It does not aim to provide:
online banking access
bank API integrations
budgeting
merchant categorization
tax accounting
bookkeeping rules
ledger rendering
Beancount-specific output
Django integration
database models
REST APIs
background jobs
web interfaces
Those concerns can consume the normalized statement objects produced by this package without becoming responsibilities of the statement parser itself.
Roadmap
Current milestone:
0.6.0
four-institution statement support
Chase
credit card
checking
home-equity line of credit
Wells Fargo
checking
credit card
business checking
business credit card
business line of credit
American Express
personal credit card
business credit card
business checking
business line of credit
personal loan
Discover
checking
credit card
account-type-aware reconciliation
layout-aware PDF evidence
strict institution detection
deterministic processor selection
100% branch coverage
1963 / 1963 private statements PASS
Next evidence-driven institution target:
Capital One
Expected later phases:
additional account families for supported institutions
additional institutions
additional historical statement grammars
additional reconciliation capabilities when required by statement evidence
The roadmap is evidence-driven.
Modules and abstractions should be added because real statement formats require them, not because they appear theoretically useful.
Contributing
Contributions are welcome.
Please read CONTRIBUTING.md before submitting changes.
The most important contribution rule is:
New evidence should extend the system at the smallest correct boundary without destabilizing previously proven processors.
Never include real private financial statements or personally identifiable financial information in issues, pull requests, tests, or commits.
Security
Please report security issues according to SECURITY.md.
Do not disclose private financial information or credentials in public security reports.
License
banking-statements is released under the MIT License.
See LICENSE for details.
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github-hosted -
Publication workflow:
publish.yml@ed798a7be178687344e9240efd4616971aa134bc -
Trigger Event:
release
-
Statement type: