MT940 Viewer

MT940 Viewer enables quick review of MT940 bank statements by uploading files, parsing transactions, balances, and summary totals for accountants and auditors.

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Client-Side Privacy
4.9 / 5.0
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About This Tool

MT940 Viewer ingests bank statement files in MT940 format and outputs a structured data model of accounts, transactions, and balances. It supports banks' format variations, normalizes dates and amounts, and identifies debits and credits for each entry. This enables reconciliation, cash flow analysis, and audit trails without manual transcription.
The tool is designed for accountants, controllers, auditors, and treasury staff who regularly work with MT940 files from banks or ERP exports. Core value lies in consistency, speed, and export-ready data. Core features include file upload, robust MT940 parsing, per-transaction fields (date, value_date, amount, currency, debit_credit, reference, text), and optional filters. It also offers multi-account support per file and a data validation layer that flags missing tags or unusual balances. Use cases include monthly reconciliation, cash position reporting, and regulatory audit preparation. The tool distinguishes itself by handling bank-specific MT940 variants, providing precise line-item extraction, and producing ready-to-export datasets suitable for downstream accounting systems.

How to Use

Upload an MT940 file to load the data
Optionally set date range and account filters
Click parse to generate the structured dataset
Review transactions and totals in the result set
Export to CSV or JSON for downstream reconciliation

How to use mt940 viewer online

Frequently Asked Questions

Find Quick Answers

What MT940 variants are supported?
The parser supports standard MT940 blocks and common bank-specific variants (tags 20, 25, 60x/61x/62x, 86). It adapts to formatting quirks while preserving transaction-level detail for reconciliation.
Can I export the results?
Yes. Output can be exported as CSV or JSON, enabling seamless import into ERP, GL, or data warehouses for further analysis.
How are missing tags handled?
Missing mandatory tags trigger explicit error notes while valid records remain accessible. The system continues parsing where possible and reports issues with line references.
Is the data processing private?
Data uploaded to the tool is processed according to deployment: on-premise or server-based. No external sharing occurs unless you explicitly enable it.

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