ClearMatch uses Hyper Fuzzy Matching to automatically reconcile bank transactions — handling the messy, real-world data that breaks every other tool.
Traditional reconciliation tools ask: does A equal B? But real-world data does not work that way. Descriptions get truncated. Payments come in late. One invoice gets paid in three instalments.
The result: hours of manual matching by expensive people, every single month.
Bank says "AMZN MKTP UK" — ledger says "Amazon Marketplace" → no match
Invoice is £4,999.00 — payment is £4,949.01 after early settlement → no match
Three payments of £1,667 vs one invoice for £5,000 → no match
Payment dated Jan 2 for a Dec 31 invoice → no match
Upload your bank statement and cash book as CSV, BAI2, or MT940 files.
ClearMatch analyses every transaction pair and scores each potential match by confidence.
High-confidence matches are auto-accepted. You review only the ones that need a human eye.
Download your working papers in Excel and you are done.
Confidence-scored matching that handles abbreviations, timing differences, amount variances, and real-world data mess.
Automatically identifies one-to-many and many-to-one payment splits that would take hours to find manually.
Accepts CSV, BAI2, and MT940 — export directly from your bank or accounting software.
Export a complete reconciliation working paper ready for your files or client records.
Manage up to 25 clients on a single licence. Stack codes to increase your limit.
Your data is encrypted in transit and at rest. We never share or sell your financial data.
Every potential match gets a score. You decide what to do with it.
| Confidence | Action | Status |
|---|---|---|
| 95% and above | Automatically accepted | Auto-accepted |
| 75% to 94% | Appears in your review queue | Review |
| Below 75% | Flagged for manual investigation | Investigate |
Stack codes to increase your client limit. Pay once, use forever.
Lifetime access. One-time payment. No recurring fees.
ClearMatch was built because bank reconciliation was quietly stealing our team's best hours. Every month, qualified accountants were doing work that a computer should handle — manually matching transactions line by line, chasing rounding differences, and hunting down payments that arrived three days late.
We built ClearMatch to solve this properly. Not with a simple rules engine that breaks the moment real-world data gets messy, but with Hyper Fuzzy Matching — a confidence-scored system that handles the abbreviations, timing differences, and amount variances that trip up every other tool.
The result is a reconciliation process that takes minutes instead of hours, with working papers ready to export the moment you're done.
Finance and technology professional with a background in accounting practice operations. Built ClearMatch after seeing firsthand how much time practices lose to manual reconciliation every month.
A small, focused team of engineers and finance professionals committed to making bank reconciliation faster and more reliable for practices and finance teams worldwide.
Join accountants and finance teams already saving hours every month.
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