Inspection report repair estimate

Turn an inspection report into a repair-risk deal brief.

You have the inspection report. Now you need to know what the repairs will cost, which items can break the deal, and what offer ceiling the numbers support — before your option period runs out. Scopebase does that in about a minute for most runs.

You have the inspection.

The inspector flagged issues. You know something is wrong. You do not know what it costs to fix it or whether the deal still works.

You need a number now.

Option periods do not wait for contractor quotes. You need a defensible range — not a guess — to decide whether to offer, renegotiate, or walk.

One number is not enough.

A single repair figure hides the risk. You need a range, a confidence level, and the specific items most likely to blow the budget after closing.

What Scopebase extracts from the report

Scopebase parses inspection language into named trade items with cost context. Vague findings like "settling floors" or "slow drains" are mapped to their likely repair scope — with a flag when the extent is uncertain.

TradeHow inspection language maps to scopeRisk flag
FoundationSettling floors → pier-and-beam leveling estimateFlagged
RoofAge + condition → full shingle replacement scope
HVACSystem age, inadequate cooling → replacement or service
PlumbingSlow drains → cast-iron inspection / replacement scopeFlagged
ElectricalOlder panel, double-tapped breakers → upgrade estimate
Interior finishesMoisture damage, deferred maintenance → drywall, paint, flooring
PermitsStructural/MEP work → permit cost estimate by jurisdiction
ContingencyUnknown conditions → 10% buffer on major system items

What you get back

Every inspection report analysis returns six output components designed for deal decisions, not contractor scheduling.

Line-item repair scope

Every trade area extracted from the inspection, named and described with scope context.

Low / Mid / High ranges

Three cost tiers, not one optimistic number. Built from RSMeans data with city-index adjustments.

Risk flags

Foundation, plumbing, and other high-variance items flagged with a warning before you bid.

Confidence per item

High / Medium / Low confidence badge on every line item, showing where the estimate is solid and where it could shift.

MAO scenarios

Conservative, standard, and aggressive offer ceilings with your repair range already factored in.

Verification checklist

Prioritized list of what a contractor must confirm on site before you close or request a repair credit.

Why not just use ChatGPT?

ChatGPT

  • Single number, no range
  • No regional pricing data
  • Cannot parse inspector language reliably
  • No confidence indication
  • No verification checklist

Scopebase

  • Low / Mid / High range per trade
  • RSMeans pricing with city-index adjustment
  • Parses inspection PDF or notes
  • Per-item confidence level
  • Verification checklist included

Frequently asked questions

What inspection report formats does Scopebase accept?

Scopebase accepts standard home inspection PDFs produced by ASHI and InterNACHI inspectors, including narrative-style and checklist-style reports. You can also paste key findings as plain text or describe the property condition in your own words.

How accurate is the repair estimate from an inspection report?

Scopebase estimates carry an accuracy range of ±30–50% at the pre-inspection stage. The output is designed for deal screening — to help you decide whether to offer, renegotiate, or walk — not as a final construction budget. Flagged items must be verified on site by a contractor before you close.

What does Scopebase extract from an inspection report?

Scopebase extracts findings related to foundation, roof, HVAC, plumbing, electrical, interior finishes, exterior, landscaping, permits, and contingency. It identifies implied work and surfaces items that increase cost uncertainty.

Can I share the repair estimate with a seller, partner, or lender?

Yes. Scopebase generates a shareable link and a downloadable PDF. Both include the line-item scope, risk flags, confidence indicators, and MAO scenarios.

Why not just use ChatGPT to estimate from an inspection report?

ChatGPT does not have access to regional pricing data, cannot parse inspector-specific language reliably, and returns a single number with no confidence indication. Scopebase uses RSMeans pricing with city-index multipliers, maps inspector findings to trade line items, and returns a range with per-item confidence levels and verification flags.

Related tools

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Inspection Report to Repair Estimate | Scopebase | Scopebase