bank-reconciliation

Bank reconciliation matches your book entries against bank and credit card statements to verify accuracy and surface discrepancies. It uses exact, near, and batch matching with balance verification to detect duplicates, timing gaps, and unrecorded items.

Detecting discrepancies between your accounting ledger and bank records requires comparing transactions through exact, near, and batch matching. This process identifies duplicates, timing gaps, and unrecorded items, outputting an audit-ready reconciliation report.

Yes, monthly bank reconciliation supports accounting exports and CSV ledgers. It normalizes dates, vendor names, and amounts to improve matching quality, applying balance verification to compare transactions from your provided datasets.

Near matching during bank and credit card statement reconciliation compares transactions that are not exact duplicates but share similarities. Normalization rules for dates, vendor names, and amounts improve the matching quality to surface discrepancies.

A bank reconciliation report for an audit should summarize matches, gaps, and carry-forward items. It verifies book accuracy and completeness by documenting matched transactions, timing gaps, duplicates, and unrecorded items for follow-up.

Timing gaps and unrecorded items in bank reconciliation occur when book entries and bank statements do not align perfectly. The reconciliation process surfaces these discrepancies, verifying accuracy and flagging carry-forward items for follow-up.