money

A personal finance tracker built around bank statements rather than manual entry.

You keep a data directory with one folder per account, drop statement exports into those folders, and run money import. Transactions are extracted, tagged by glob rules you write, and movements between your own accounts are marked as transfers so they never count as spending.

Layout

~/money/                     # the data root (see "Where the data root lives")
  rules.toml                 # tag + transfer rules, in order
  .money/index.db            # SQLite index (rebuildable; safe to delete*)
  checking/
    account.toml             # currency + how to parse this bank's exports
    2026-01.csv
    2026-02.csv
  savings/
    account.toml
    2026-01.csv

* Deleting the index loses manual tags and manual transfer marks, which live only there. Everything else is re-derived from the statements.

Where the data root lives

Checked in order, first one wins:

1. --root DIR on the command line
2. $MONEY_ROOT
3. the root key in $XDG_CONFIG_HOME/money/config.toml, which is ~/.config/money/config.toml unless XDG_CONFIG_HOME says otherwise
4. ~/money

So the usual setup is to write the config file once and never pass a flag again:

# ~/.config/money/config.toml
root = "~/documents/finances"

A leading ~ is expanded and relative paths are made absolute. money config prints the resolved root and which of the four rules chose it.

Usage

money                        # open the TUI (default)
money import                 # extract new transactions from every statement
money import --force         # re-parse statements even if unchanged
money retag                  # re-apply rules.toml to everything already imported
money ls --untagged          # what still needs a tag
money ls --wide              # also show type, counterparty and reported balance
money ls --account checking --month 2026-01
money report --month 2026-01 # spending by tag
money accounts               # balances
money parsers                # available statement parsers
money config                 # which data root is in use, and why

TUI keys

Key	Action
1 2 3 / tab	accounts · transactions · report
enter	open the selected account (accounts view)
t	set the tag on the selected transaction
x	toggle transfer on the selected transaction
c	clear manual overrides, falling back to the rules
/	filter by description
u	show only untagged transactions
a	clear the account filter
i	import · r re-apply rules · q quit

rules.toml

Rules are evaluated in file order and the first match wins, so put transfer rules above general tag rules. Patterns are globs (* and ?) matched case-insensitively, with whitespace collapsed.

A rule matches on match (the description), counterparty (the other side's account number) and type (the bank's own classification). Setting several is an "and": all must match.

[[rule]]
tag   = "groceries"
match = "*LIDL*"

[[rule]]
tag   = "salary"
match = "*ACME PAYROLL*"

# Money moved between your own accounts. Both legs need a rule.
[[rule]]
match    = "*TO SAVINGS*"
transfer = true
tag      = "transfer"

[[rule]]
match    = "*FROM CHECKING*"
transfer = true
tag      = "transfer"

# Transfers are often only identifiable by the counterparty IBAN, whatever
# the description happens to say.
[[rule]]
counterparty = "SI56*"
transfer     = true
tag          = "transfer"

# A rule can be limited to one account, and can require several patterns.
[[rule]]
account = "checking"
tag     = "rent"
match   = "*STANDING ORDER 4471*"

[[rule]]
type  = "CARD_PAYMENT"
match = "*LIDL*"
tag   = "groceries"

Editing rules never touches tags you set by hand: rule verdicts and manual overrides are stored separately, and the manual one always wins. money retag is therefore safe to run whenever you change the file.

account.toml

Every account folder needs one. currency and parser are required.

name     = "Main Checking"
currency = "EUR"
parser   = "csv"
# minor_digits = 2       # decimal places for this currency
# include = ["*.csv"]    # only treat matching files as statements

parser = "csv"

Column positions are 0-based.

[csv]
  delimiter   = ","             # default ","
  skip_rows   = 1               # header rows to drop
  date        = { col = 0, layout = "02.01.2006" }   # Go reference layout
  description = { col = 3 }
  amount      = { col = 4, decimal = ",", thousands = "." }
  # invert = true               # if outflows are written as positive

For statements with separate debit and credit columns, replace amount:

  debit  = { col = 4 }          # both written as positive numbers
  credit = { col = 5 }

Amount parsing is deliberately tolerant: 1.234,56, -45.20, 45,20-, (45.20) and 45.20 EUR all work.

Bank-specific parsers

Three are built in, ported from the original Python extractors. They need no [csv] block — the layout is baked in.

parser	Statement	Notes
nlb	NLB izpisek PDF	Wrapped descriptions and the counterparty IBAN are folded in from continuation lines.
traderepublic	Trade Republic PDF	Handles both the single-line and the stacked layout by measuring column positions.
revolut	account-statement*.csv	Skips non-COMPLETED rows, folds the fee into the amount.

name     = "Trade Republic"
currency = "EUR"
parser   = "traderepublic"

The two PDF parsers shell out to pdftotext -layout (poppler-utils), exactly as the Python versions did; its layout reconstruction is what makes the column-based parsing work.

Revolut and multiple currencies. One export can hold several currencies, but an account here has exactly one. Rows in other currencies are skipped and reported at import. To keep them, give that currency its own account folder with its own currency and minor_digits (JPY wants minor_digits = 0) and put a copy or symlink of the export in it.

parser = "cmd"

Runs an external extractor and reads normalised CSV (date,description,amount) from its stdout. This is how PDF statements and any existing Python extractor are handled without porting them first.

parser = "cmd"
[cmd]
  argv      = ["python3", "../extract_bankx.py", "{{file}}"]
  skip_rows = 1                 # if the script prints a header
  # layout  = "2006-01-02"      # date format the script emits (default)

{{file}} is replaced with the statement's path, and the command runs with the account folder as its working directory, so relative script paths work.

Adding a native parser

When a Python extractor is ported to Go, drop it in internal/parser and register it — no other package changes:

func init() {
	parser.Register("bankx", func(acc *config.Account) (parser.Parser, error) {
		return &bankXParser{digits: acc.Digits()}, nil
	})
}

func (p *bankXParser) Parse(path string, acc *config.Account) ([]parser.RawTxn, error) {
	// ... return date (YYYY-MM-DD), description, and signed minor units
}

It becomes usable by setting parser = "bankx" in an account.toml. Use parser.ParseAmount for the decimal handling rather than rolling your own.

Balance checks

Statements that report a running balance are verified on import: each balance must equal the previous one plus the transaction amount, the same check all three original scripts made. A break means a row was missed or misparsed, and is reported as a warning without stopping the import.

Deduplication

Each transaction gets a fingerprint from its date, amount, normalised description, and its ordinal among identical lines in the same statement. So two identical purchases on one day are both kept, while re-importing an overlapping statement adds nothing. Unchanged files are skipped by checksum before parsing.

Development

go build ./... && go test ./...