Truth
Reconciliation confirms whether sources truly agree before numbers are reused.
Built for finance and operations teams
Validate, clean, and reconcile CSV and Excel files before they break downstream workflows.
GoValidate.ai finds missing values, duplicate rows, bad dates, type mismatches, join risks, and reconciliation issues so your files are ready for analysis, reporting, and import.
Start with a file
Local processing
Serverless
Instant results
Secure by design
Data Quality
Expose hidden risk before it spreads
Run data quality checks for missing values, duplicates, bad dates, type mismatches, and format drift. Surface column health so teams can act before bad data enters dashboards, imports, or AI workflows.
Downstream readiness before reporting starts.
Run Data Quality →
Column Health Report
12 columns scanned
customer_id
98%
email
94%
contact_number
71%
region
43%
2 Healthy
1 Warning
1 At Risk
Reconciliation
Prove your sources agree
Match records across CSV and Excel files with key mapping and tolerances. Isolate missing rows, join risks, and mismatched values for review. Export reconciliation evidence ready for audit trails.
Defendable close numbers — every cycle.
Open Reconciler →
Reconciliation Result
2 files compared
| Invoice | Source A | Source B | Status |
|---|---|---|---|
| INV-1001 | $4,200.00 | $4,200.00 | Matched |
| INV-1002 | $1,850.00 | $1,850.00 | Matched |
| INV-1003 | $3,100.00 | $3,140.00 | Mismatch |
| INV-1004 | $920.00 | — | Missing |
2 Matched
1 Mismatch
1 Missing
Power Query Alternative
Standardize large files without Excel breakpoints
Trim, split, parse, normalize IDs, and dedupe. Apply the same pipeline every cycle for consistency. Export clean data for BI, finance, imports, or automation — no row limits, no VBA.
Reliable inputs without the Excel ceiling.
Clean a File →
Transformation Pipeline
3 steps applied
Raw Input
" ACME corp "
"acme-CORP"
"Acme Corp."
Step 1
"ACME corp"
"acme-CORP"
"Acme Corp."
Clean Output
"Acme Corp"
"Acme Corp"
"Acme Corp"
3 rows cleaned
2 duplicates resolved
Your final safeguard as AI takes over
As AI usage grows, garbage in scales faster than ever. Validation is the control point between raw data and decisions you can defend.
Trust
Data quality identifies hidden column defects that distort downstream models.
Ready
Clean, standardized outputs feed reporting and AI workflows with less rework.
Start validating
Pick any entry point. Check data quality, reconcile sources, or clean a file. Export evidence either way.