Free tool for assessor offices

Build a Defensible Depreciation Table From Your Data

Upload your cost data, and get an audit-ready depreciation schedule in minutes. Free, fast, and backed by transparent methodology.

Audit-ready output
Results in under 10 minutes
Export CSV, XLSX, or PDF

Everything you need to build a defensible depreciation schedule

From raw data to exportable, audit-ready tables in a guided workflow.

Upload Your Data

Drop in a CSV or XLSX with your cost and sales data. We auto-detect columns and validate everything.

Auto-Generate Tables

Compute depreciation schedules by age and building type with robust smoothing and outlier handling.

Export Everything

Download your depreciation table as CSV, XLSX, or a full PDF methodology memo with validation results.

Defensible Methodology

Transparent, reproducible methodology with holdout testing, sample size reporting, and monotonicity enforcement.

From spreadsheet to defensible table in 3 steps

No coding, no stats background required. Just your data and 10 minutes.

01

Upload

Upload your CSV or XLSX file with property data. Use our template or your own columns -- we auto-detect common field names.

02

Configure

Map your columns, choose your calibration path, and set parameters like smoothing method, outlier thresholds, and age buckets.

03

Export

Review your depreciation table with diagnostics, then export as CSV, XLSX, or a full PDF methodology memo.

Built for defensibility

Your depreciation tables need to withstand scrutiny. Every output is designed for transparency, reproducibility, and audit readiness.

Transparent Methodology

Every computation step is documented. See exactly how your table was built, what data was used, and what assumptions were made.

Holdout Validation

An automatic train/test split measures how well your table predicts unseen data. Report error metrics with confidence.

Monotonicity Enforcement

Isotonic regression ensures your depreciation table is monotonically non-decreasing with age -- no inexplicable jumps.

Sample Size Reporting

Every age bucket shows its observation count. Thin bins are flagged, so you know exactly where your data is strong or weak.

Outlier Documentation

IQR-based outlier detection removes anomalies and documents every exclusion with specific reasons.

Export-Ready Artifacts

Generate a PDF methodology memo with tables, validation results, and disclaimers -- ready for appeals boards and audits.

Ready to rebuild your depreciation tables?

Upload your data and get a defensible depreciation schedule in minutes. No account required.