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AI in construction · November 9, 2026

Measuring a house from phone photos: is it accurate enough to bid from?

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A roofer or siding contractor spends an hour with a ladder and a tape for a bid that may never be signed. Hover says you can take photos with a phone and get the measurements in minutes. The questions are what that costs per job, how accurate it really is, and who checked.

2-5%

the accuracy Hover claims for measurements built from phone photos (Hover roofing page, read November 9, 2026). We found no independent report on Hover itself

1. What it is and what it costs

Hover builds a 3D model of a house from phone photos and returns measurements for the roof, siding, gutters and windows, and interior floor plans. On its roofing page (read November 9, 2026) Hover says it needs "as few as 8 exterior photos" and that reports are "typically delivered in minutes".

Its public pricing page (read November 9, 2026) has a Starter plan, pay per project, with the first 3 projects free. Starter prices for an exterior job (roof, siding, gutters, windows) are $59 for a simple house, $99 for an average one and $139 for a complex one; a roof-only job is $29, $49 or $69. The Pro plan is $999 a year and takes $20 off every project. Business is $2,999 a year with a flat rate by project type. Rush delivery is an extra $39 per project on Starter.

Arithmetic on those numbers: Pro saves $20 a project, so $999 ÷ $20 is about 50 projects a year before the discount alone pays for the plan. A crew that measures 15 houses a year is better off on Starter.

2. How accurate is it, and who checked

Hover claims measurements "within 2-5% accuracy", about 285 measurements per property on average. That is the vendor's claim. The page gives no study behind it.

Hover also says it was recognized by Haag Engineering, an engineering firm. We could not open the Haag report, so we cannot tell you its sample or method. Hover's own blog post of March 26, 2025 reports 510 pilot properties with a variance "never exceeding 5%", but Hover ran that comparison itself and it covers interior floor area, not roofs.

The one independent test we could open was not of Hover. Haag Engineering tested drone-based roof measurements on 13 roofs (article of January 10, 2018, written by the CEO of the software vendor involved). The average absolute difference from tape was 1.1% and the worst roof was 2.7%, the one with overhanging tree branches. So automated measuring can be close, and trees and overhangs are where it slips. Different tool, different year: treat it as a hint, not proof about Hover.

What 5% means: on a 30-square roof, 5% is 1.5 squares of shingles. That is a few hundred dollars of material you either waste or forget to bill.

3. Verdict

Worth trying cheaply. The first 3 projects are free, so you can test it with no spend. Measure three houses with Hover and also with your own tape, and keep the numbers. If the gap on your type of house stays under what you can absorb in your margin, keep using it on the jobs where driving out costs you the most. A measurement is not an estimate: the labor, the waste factor and the prices are still yours.

This week

  1. Pick three upcoming bids on houses you will measure anyway.
  2. Take the photos, order the free Hover reports, and write down tape vs Hover for the roof area and the siding area.
  3. Note which house had trees or overhangs, and how far off Hover was there.
  4. Count how many houses you measure in a year. Under about 50, skip the $999 plan.

Questions

Is Hover accurate enough to bid from?+

Hover claims 2-5%. The only independent test we could open was of drone measurements, not Hover. Check it against your own tape on a few houses first.

What does it cost per house?+

On the public pricing page read November 9, 2026: exterior $59, $99 or $139 on Starter by complexity, roof-only $29, $49 or $69. The first 3 projects are free.

Does it replace my estimate?+

No. It gives measurements. The scope, waste, labor and your prices are still your decision.

Sources

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Original on app.worktimealliance.com/guides/ai-note-2026-11-09