imports-integrations

To import bulk transactions from a CSV file, you use the system's CSV parsing flow to validate headers, enforce file size limits, batch-insert rows, and generate a detailed import summary with error reports.

Yes, AI auto-detects accounts and categories from transaction descriptions during CSV import, providing confidence scoring for each match while allowing user override for any misclassified entries.

Deduplication during CSV transaction import works by validating rows against existing backend database entries, automatically filtering out duplicate records before performing the final batch insert.

Rows with errors during a bulk transaction import trigger partial-failure handling, skipping the problematic entries while successfully processing valid rows and reporting detailed error summaries for troubleshooting.

The best way to import bank CSV exports with varied column mappings is to use flexible CSV parsing that supports header detection and required-field validation to accurately map and batch-insert transactions.

CSV transaction imports enforce strict file size and rate limits to protect the backend database, ensuring controlled batch processing and preventing system overload during bulk data migration.