StatementKit: Bank Statement to JSON/CSV/Ledger Converter

x402

StatementKit: Bank Statement to JSON/CSV/Ledger Converter is a paid API for AI agents from statementkit.zenith-ops.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-23).

Converts bank statement files (CSV, CAMT, MT940, OFX/QFX, QIF) into normalized JSON, CSV, hledger journal, or SIE4 accounting export formats.

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, CSV, hledger journal, or SIE4), the detected or specified format name, a filename suggestion, a content-type header value, and a warnings array listing any parsing issues or ambiguities encountered during conversion.

Example use cases

Bookkeeper automating ledger imports

“Here's a CSV export from Nordea — please convert it to hledger journal format. The date column is called 'Datum', amount is 'Belopp', and description is 'Text'. Use assets:bank:nordea as the asset account and SEK as the currency.”

Accountant exporting SIE4 for Swedish tax software

“I need to convert this MT940 bank statement into SIE4 format for my accounting software. The company name is Acme AB and the bank account number is 1930.”

Developer normalizing multi-bank transaction data

“Can you parse this OFX file from my bank and return the transactions as clean JSON? I want the raw source fields included too so I can map them to my own schema.”

Technical details

Endpoint

POSThttps://statementkit.zenith-ops.workers.dev/v1/convert?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need deterministic, rule-based parsing of structured bank statement file formats (CSV, CAMT, MT940, OFX/QFX, QIF) rather than AI-based extraction. It is ideal for bookkeeping automation pipelines, accounting integrations, and agent workflows that need reliable, structured transaction data without hallucination risk. Prefer it over general-purpose LLM parsing when format fidelity and auditability matter, and over manual accounting tools when you need programmatic output in hledger, SIE4, JSON, or CSV.

Side effects

Unsupported or malformed input file format returns a parse error
PDF or scanned image input is explicitly not supported and will fail
Ambiguous CSV column names without explicit column mapping may produce incorrect field assignments
Missing currency when the file contains none and no fallback is provided may cause errors or empty currency fields
Ambiguous date formats without dateFormat override may result in incorrect date parsing

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 automating ledger imports

Accountant exporting SIE4 for Swedish tax software

“I need to convert this MT940 bank statement into SIE4 format for my accounting software. The company name is Acme AB and the bank account number is 1930.”

Developer normalizing multi-bank transaction data

“Can you parse this OFX file from my bank and return the transactions as clean JSON? I want the raw source fields included too so I can map them to my own schema.”

Technical details

Endpoint

POSThttps://statementkit.zenith-ops.workers.dev/v1/convert?utm_source=zero.xyz

When to prefer

Side effects

Unsupported or malformed input file format returns a parse error
PDF or scanned image input is explicitly not supported and will fail
Ambiguous CSV column names without explicit column mapping may produce incorrect field assignments
Missing currency when the file contains none and no fallback is provided may cause errors or empty currency fields
Ambiguous date formats without dateFormat override may result in incorrect date parsing

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"
  }
}