Track expenses.
Reconcile with confidence.
LedgerMatch is a multi-user expense management platform with an integrated reconciliation engine. Import transaction CSVs, normalize records, and match them across two sources using rule-based confidence scoring.
Spend this month
$8,432
Spend this week
$1,240
Pending review
4
Built for real expense workflows
Everything you need to manage, import, review, and reconcile business expenses — without the complexity of enterprise finance software.
Full expense management
Add, edit, and categorize expenses manually or from imports. Filter by date, category, account, and status. Every expense ties back to a category record — renaming a category never orphans your data.
CSV import pipeline
Upload any bank export or expense report CSV. Map columns to expected fields, preview the parsed data, normalize rows, and optionally convert them directly into expense records.
Rule-based reconciliation
Compare two import sources side by side. The matching engine scores suggestions based on amount, date proximity, and description similarity. Accept, reject, or manually link each pair.
Workspace categories
Create custom categories with colors. Archive categories gracefully — existing expenses retain their history, and you can reassign records before archiving.
Dashboard insights
Monitor monthly and weekly spend, category breakdowns, recent transactions, and a live reconciliation review queue — all on a single, information-dense dashboard.
Multi-user workspaces
Each user gets their own workspace with role-aware data isolation. Owner, admin, and member roles keep team data clean and secure from day one.
How it works
From CSV upload to reconciled output in four steps
Upload your CSV files
Export a bank statement or expense report as CSV and upload it. Map your column headers to the expected fields — LedgerMatch will auto-detect common patterns.
Normalize and review
Each row is parsed, validated, and normalized into a structured record. Optionally convert imported rows into expense records with a single click.
Run reconciliation
Select two import sessions and run the matching engine. It scores candidate pairs by amount, date, and description similarity — then queues them for your review.
Accept, reject, export
Review each suggested match. Accept matches you agree with, reject false positives, and manually link any unmatched rows. Export cleaned results as CSV.
Ready to reconcile smarter?
Create a free account, upload your first CSV, and see your matches in minutes.
Demo credentials: alice@example.com / demo1234