Transforming CSV and Excel Bank Statement Exports into Structured ERP-Ready JSON Webhooks
Business Use Case & Requirements
Companies migrating to modern API-first ERP systems while still receiving traditional CSV or Excel statement files need an automated translation layer that parses spreadsheet rows and outputs structured JSON webhook payloads via SFTP, API, email, or Google Drive.
Technical Architecture & Pipeline Execution
The translation engine monitors incoming CSV/Excel statement feeds, parses delimiter-separated rows, normalizes multilingual column aliases (`Date`, `Amount`, `Indicator`), and compiles structured JSON transaction arrays wrapped in a standard webhook envelope.
2026-09-10,850.00,CRDT,Muster AG
Standards & Compliance Highlights
- While standard ISO 20022 XML formats dominate direct bank feeds, tabular CSV and Excel exports remain ubiquitous across regional banking portals.
- Automated spreadsheet-to-JSON conversion bridges legacy file-based banking exports with modern microservice architectures.
- Multichannel ingestion (SFTP, API, email, Google Drive) ensures flexible integration options for diverse IT landscapes.
Industry Comparison & Perspective
Unlike manual file conversion utilities, this engine provides automated, schema-validated spreadsheet-to-JSON transformation across SFTP, API, email, and Google Drive.