Truth
Reconciliation confirms whether sources truly agree before numbers are reused.
Before data goes downstream
Know what’s wrong first
before anyone else does.
GoValidate checks files before they hit dashboards, reports, imports, or client
deliverables, with client-side processing so your data never uploads to our servers.
Start with the file you’re about to use
Or try a privacy-safe sample:
Runs in your browser
No server upload
Compare sources
Export audit-ready evidence
Data Quality
Catch outliers and data irregularities instantly
Spot suspicious values, bad dates, blanks, duplicate rows, and format drift before they enter BI, finance, imports, or AI workflows. See what needs review the moment a file lands.
Problems surfaced before reporting starts.
Data Quality Results
4 issues found
| Account | Amount | Due Date | Region |
|---|---|---|---|
| Vela Ridge | $4,800 | 02/28/26 | North |
| Orbis Lane | $12,400,000 | 03/04/26 | East |
| Juniper Hall | $2,150 | 02/31/26 | Northeastt |
Outlier
Amount is 214x above median
Invalid date
02/31/26 cannot be parsed
Irregular label
Northeastt differs from Region values
1 outlier caught
3 irregularities flagged
Spreadsheet Editor
Power Query and Excel in one clean workspace
Work directly on large CSV and Excel files with spreadsheet control and repeatable transforms. Review flagged cells, stage fixes, derive columns, and export clean data without formulas, VBA, or row-limit drama.
Transform like Power Query. Inspect like Excel.
Editor Workspace
4 steps tracked
Transform
Add Column
Format
Missing values
Reshape
Calculate
| Company | Amount | |
|---|---|---|
| 1 | Aster Row | $4,200 |
| 2 | Blue Finch | $1,850 |
| 3 | Cinder Vale | blank |
| 4 | Kestrel Park | $920 |
| 5 | Luma Ridge | $3,140 |
| 6 | Nova Harbor | $780 |
Comparing 6 preview rows after current steps.
Reconciliation
Prove your sources agree
Match records across CSV, Excel, and JSON 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.
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
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
Most users who continue start with Data Quality. Check the file first, then reconcile sources or clean issues in the editor when you need to go deeper.