Invoice reconciliation software
Match invoices to bank lines — with AI doing the first pass
InvoiceHive extracts your invoices, imports your bank statements, and proposes matches with a confidence score. Confident pairs reconcile automatically; uncertain ones wait for your confirmation. Nothing is decided behind your back.
What invoice reconciliation software should actually do
Reconciling means proving that every invoice you issued or received corresponds to real money moving through your bank account. Most tools only manage one side: invoicing apps track documents, banking apps track transactions, and the matching between them happens in a spreadsheet.
InvoiceHive keeps payables, receivables, and bank activity in one workspace, so the match itself — this bank line pays that invoice — is a first-class record with a status and an audit trail, not a cell color in a spreadsheet.
How the matching works
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1. Bring in your invoices
Upload PDFs and images (PNG, JPG) or XML e-invoices, or forward them to your workspace’s dedicated inbound email address. AI extraction fills in amounts, dates, parties, line items, and taxes — you review and correct instead of retyping.
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2. Import bank statements
CSV, PDF, and MT940 (SWIFT) statement files are parsed into line-level activity. Duplicate lines across overlapping uploads are detected and skipped automatically, so re-uploading a statement never double-counts.
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3. Auto-match with a confidence score
Each bank line is compared against your open invoices by amount, date, reference, and party. High-confidence pairs are matched automatically; anything less certain lands in pending review for a human decision. You can also search and match any line manually.
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4. Watch the progress, not the spreadsheet
The dashboard shows total income and outcome, outstanding receivables and payables, overdue alerts, and a matching progress bar — filterable by date range and currency.
Every line has an explicit state
Audits fail on ambiguity. In InvoiceHive, a bank statement line is always in exactly one of five states, and every transition is recorded:
Matched
The system paired a bank line to an invoice with high confidence.
Pending review
A probable match was found, but a person confirms it before it counts.
Reviewed
Confirmed by your team — reconciled and closed.
Unmatched
No invoice found yet; search and link one manually, or leave it visible.
Ignored
Bank fees, internal transfers — excluded from reconciliation on purpose.
Anomaly detection runs while you reconcile
Reconciliation is where fraud and errors surface — if someone is looking. InvoiceHive runs more than two dozen detectors over your invoices, payments, and statements, and raises flags with a severity level and the evidence behind them. Your team acknowledges, resolves, dismisses, or escalates each one.
Duplicate & near-duplicate invoices
Exact copies and lookalikes uploaded within a short window get flagged before they are paid twice.
Payment mismatches
Partial payments, overpayments, and amount differences between the bank line and the invoice.
Vendor behavior
A first-time vendor paid unusually fast, or an invoice far above a vendor’s usual amounts.
Statement integrity
Gaps between statements and balances that don’t add up from opening to closing.
Detector thresholds are tunable per organization, so the noise level fits your volume.
Built for teams in the Americas
The product works in English and Spanish and handles ten currencies, including USD, EUR, CRC, MXN, and CAD. Costa Rican electronic invoices (XML) are parsed natively — Clave, consecutivo, and CABYS codes included — and cross-checked against the PDF when both are uploaded.
New to the process? Read the step-by-step guide on how to reconcile invoices with bank statements. Managing books for multiple companies? See how accounting firms run every client from one login.
Reconcile your first statement this week
Upload a handful of invoices and one bank statement, and see how much of the matching you no longer have to do by hand.
Setup in 2 minutes — or talk to us first