Anonymous mode
Use all reconciliation features without signing in. Data persists in this browser.
Workflow Progress
Follow the sequence below to move from raw files to final reconciliation output.
Upload Files
Upload GL, subledger, and transaction data
Map Columns
Map your CSV columns to canonical fields
Preview Data
Review transformed data before running
Illuminate
AI agents validate, analyse, and generate your reconciliation report
Next Action
Upload required files
Start with GL and subledger balances so mapping can begin.
1. Upload
Pending2. Map
Pending3. Preview
Pending4. Reconcile
PendingStep 1
Upload Files
Upload your GL balance, subledger balance, and transaction files. Supports CSV, TSV, TXT, and Excel (.xlsx) from any accounting system.
GL Trial Balance*
CSV/TSV/TXT - Period auto-detected from filename
Subledger Balance (AP/AR Aging)*
CSV/TSV/TXT - Period auto-detected from filename
Transaction Detail
Optional: Transaction-level detail for variance investigation (CSV/TSV/TXT)
Supporting Files
Optional: Upload supporting CSV/TSV/TXT files (multiple files allowed).
Step 2
Map Columns
Map source columns to canonical fields. You can auto-suggest and then adjust only the mismatches.
No file uploaded for gl balance
Upload a file in the Upload Workspace above
Complete required mappings to continue
Mappings are saved locally in your browser
Data Preview
Upload and map your files to see a preview
Step 4
Illuminate
AI agents validate, analyse variances, investigate, and generate your reconciliation report.
How threshold works
Variances above this amount are flagged as material and need follow-up. Lower values increase sensitivity.
Nothing to reconcile yet
Complete steps 1–3 first: upload GL and subledger files, map the columns, and apply the mappings.
Sample data
Download test scenario files
Realistic reconciliation scenarios for balanced cases, variances, cutoff timing differences, and multi-period analysis.
About Rowshni
Rowshni means "light". It streamlines GL-to-subledger reconciliation with guided steps and AI assistance.
Platform Snapshot
- 4-stage Illuminate pipeline: Validation, Analysis, Investigation, and Report
- Frontend: Next.js web app | Backend: Fastify orchestrator
- Gemini, OpenAI, and Claude supported
Technical Reference
- Next.js 16 web application
- Fastify orchestrator service (OpenAI, Claude, Gemini modes)
- Spec-Kit contracts for data validation
- Gemini 2.0 Flash (default free-tier Illuminate pipeline)
- Optional Claude skills for mapping and investigation
For full technical details, turn off Simple mode or open the User Guide.