StatementKit: Bank Statement Converter

x402

StatementKit: Bank Statement Converter is a paid API for AI agents from statementkit.erikssonanton2001.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-17).

Converts bank statement files (CSV, camt.052/053/054, MT940, OFX/QFX, QIF) into normalized JSON, CSV, hledger journal, or SIE4 format

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Deterministic bank statement normalizer for AI agents and bookkeeping tools: CSV from any bank, camt.052/053/054, MT940, OFX/QFX and QIF in; normalized JSON, analysis and CSV/hledger/SIE4 export out.

Output

Returns a JSON object containing the converted file content as a string (in the requested format: JSON, hledger journal, SIE4, or CSV), a suggested filename, the content MIME type, and an array of any warnings encountered during parsing or conversion.

Example use cases

Bookkeeper importing Swedish bank exports

“I have a CSV export from Handelsbanken with columns 'Datum', 'Belopp', and 'Text' — can you convert it to a hledger journal with SEK as the currency, mapping date to Datum, amount to Belopp, and description to Text?”

Accountant generating SIE4 from camt file

“I need to convert this camt.053 file into SIE4 format for our Swedish accounting software — the company name is Acme Sverige AB and the bank account number is 1930.”

Developer normalizing multi-bank transactions to JSON

“I've got an OFX file from my US bank and need it converted to clean normalized JSON so I can import the transactions into our bookkeeping tool — please include the raw source fields too.”

Technical details

Endpoint

POSThttps://statementkit.erikssonanton2001.workers.dev/v1/convert?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need deterministic, rule-based conversion of text-based bank statement files (CSV, camt, MT940, OFX/QFX, QIF) into structured formats — especially for bookkeeping workflows requiring hledger or SIE4 output. Prefer it over LLM-based parsers when you need consistent, reproducible results without hallucination risk. Not suitable for PDF or scanned image statements.

Side effects

Unsupported or malformed file content returns a parse error
PDF or image-based statements are explicitly not supported and will fail
Ambiguous CSV date formats without dateFormat override may produce incorrect dates
Missing currency in file without fallback currency parameter causes incomplete output
Incorrect column mapping for CSV files leads to failed field extraction

Input

Schema · Request body

Field	Type	Description
to	string	Target format.
format	string	Skip auto-detection.
columns	object	CSV: map field names (date, amount, description, ...) to exact header names.
company	string	Company name for the SIE4 header.
content	string	The statement file as text (UTF-8). PDF and scanned images are not supported.
decimal	string	CSV decimal separator override.
currency	string	Fallback ISO 4217 currency when the file has none, e.g. SEK.
delimiter	string	CSV delimiter override: comma, semicolon, tab or pipe.
dateFormat	string	CSV date order override for ambiguous dates.
includeRaw	boolean	Add the raw source fields to every transaction.
bankAccount	string	Bank account number (SIE4, e.g. 1930) or ledger account (hledger).
assetAccount	string	hledger asset account name.
incomeAccount	string	Counter account for incoming money.
expenseAccount	string	Counter account for outgoing money.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "format": "hledger",
    "content": "2026-03-02 * Lön Acme AB\n    assets:bank:unknown  32500.00 SEK\n    income:unknown\n\n2026-03-03 * Netflix.com\n    assets:bank:unknown  -129.00 SEK\n    expenses:unknown\n\n2026-03-05 * ICA Maxi Stockholm\n    assets:bank:unknown  -842.35 SEK\n    expenses:unknown\n\n2026-03-07 * Vattenfall Eldistribution\n    assets:bank:unknown  -615.40 SEK\n    expenses:unknown\n",
    "filename": "statementkit.journal",
    "warnings": [],
    "contentType": "text/plain; charset=utf-8"
  }
}

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How this service works

Deterministic bank statement normalizer for AI agents and bookkeeping tools: CSV from any bank, camt.052/053/054, MT940, OFX/QFX and QIF in; normalized JSON, analysis and CSV/hledger/SIE4 export out.

Output

Example use cases

Bookkeeper importing Swedish bank exports

Accountant generating SIE4 from camt file

“I need to convert this camt.053 file into SIE4 format for our Swedish accounting software — the company name is Acme Sverige AB and the bank account number is 1930.”

Developer normalizing multi-bank transactions to JSON

“I've got an OFX file from my US bank and need it converted to clean normalized JSON so I can import the transactions into our bookkeeping tool — please include the raw source fields too.”

Technical details

Endpoint

POSThttps://statementkit.erikssonanton2001.workers.dev/v1/convert?utm_source=zero.xyz

When to prefer

Side effects

Unsupported or malformed file content returns a parse error
PDF or image-based statements are explicitly not supported and will fail
Ambiguous CSV date formats without dateFormat override may produce incorrect dates
Missing currency in file without fallback currency parameter causes incomplete output
Incorrect column mapping for CSV files leads to failed field extraction

Input

Schema · Request body

Field	Type	Description
to	string	Target format.
format	string	Skip auto-detection.
columns	object	CSV: map field names (date, amount, description, ...) to exact header names.
company	string	Company name for the SIE4 header.
content	string	The statement file as text (UTF-8). PDF and scanned images are not supported.
decimal	string	CSV decimal separator override.
currency	string	Fallback ISO 4217 currency when the file has none, e.g. SEK.
delimiter	string	CSV delimiter override: comma, semicolon, tab or pipe.
dateFormat	string	CSV date order override for ambiguous dates.
includeRaw	boolean	Add the raw source fields to every transaction.
bankAccount	string	Bank account number (SIE4, e.g. 1930) or ledger account (hledger).
assetAccount	string	hledger asset account name.
incomeAccount	string	Counter account for incoming money.
expenseAccount	string	Counter account for outgoing money.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "format": "hledger",
    "content": "2026-03-02 * Lön Acme AB\n    assets:bank:unknown  32500.00 SEK\n    income:unknown\n\n2026-03-03 * Netflix.com\n    assets:bank:unknown  -129.00 SEK\n    expenses:unknown\n\n2026-03-05 * ICA Maxi Stockholm\n    assets:bank:unknown  -842.35 SEK\n    expenses:unknown\n\n2026-03-07 * Vattenfall Eldistribution\n    assets:bank:unknown  -615.40 SEK\n    expenses:unknown\n",
    "filename": "statementkit.journal",
    "warnings": [],
    "contentType": "text/plain; charset=utf-8"
  }
}