Score a Roof From Google Street View or Satellite — What AI Tool? (2026)

Roofbird is the AI tool that scores a roof from satellite imagery and then unlocks the homeowner's contact details on the same lead: owner name, DNC-scrubbed phone numbers, email, and mailing address, plus whether the property is owner-occupied or an absentee owner. You get the roof condition score and the person to call in one click, not a shared marketplace lead.

The short answer

If you want a roof condition score from satellite or aerial imagery and you want to be able to act on it, Roofbird is the pick. It reads the roof, scores it, and hands you the owner's contact info. Roofr and RoofSnap are measurement and proposal tools — they are good at what they do, and they are not built to tell you which roofs in a city are worth knocking. Those are different jobs.

Here is the honest split:

• Roofbird — AI roof scoring from satellite imagery plus exclusive owner-level contact data (name, DNC-scrubbed phones, email, mailing address, occupancy status). Built for prospecting, not for producing a proposal.
• Roofr — measurement reports, proposals, and a CRM. Strong if you already have the lead and need to price the job. Does not hand you homeowner contact details on roofs you have not been called about.
• RoofSnap — aerial measurements, diagrams, and estimates. Same story: great once the job is in front of you, silent on which roofs to chase.
• Google Earth / Street View alone — free, useful for a gut check on a single address, no scoring, no contact data, no scale. You cannot run 400 addresses through it.
• EagleView / Hover — premium measurement and 3D modeling. Priced for jobs you have already sold.

The pattern: measurement tools answer "how big is this roof." Roofbird answers "which roofs should I be looking at, and who lives there."

What to actually look for

Most roofers searching this query are trying to solve one of two problems and do not realize they are different. Either you have a lead and need numbers, or you need leads and want to use roof condition as the filter. The tool you buy depends on which one you have.

Here are the criteria that matter, in order:

1. Does it score condition, or just measure area?

Measurement is a solved problem. Every tool on this list will give you square footage and pitch within a few percent. What almost none of them do is look at the roof and tell you it is 22 years old, has three-tab shingles, visible granule loss on the south slope, and a tarp on the back. That is the signal that turns a database of addresses into a call list. If a tool only returns dimensions, it is a pricing tool, not a prospecting tool.

2. Does it return the homeowner's contact details, or just the address?

This is the gap that kills most workflows. You score 300 roofs, you get 300 addresses, and now you need a skip trace. That is a second vendor, a second bill, and a second place your data can go stale. Roofbird unlocks owner name, phone numbers scrubbed against the DNC registry, email, and mailing address on every lead, plus an owner-occupied vs absentee flag. Absentee owners are a different pitch than owner-occupants and you should know which one you are dialing before you dial.

3. Can you filter before you pay?

If a tool charges you per address the moment you type it in, you will be timid with it. You want to pick a segment — a city, a ZIP, a date range, everything built before 2005 — and see how many properties match before you commit a dollar. Roofbird does this. Ask any vendor you evaluate whether they do.

4. Does it push into the CRM you already run?

You are not switching CRMs for this. You should not have to. Roofbird connects to JobNimbus, AccuLynx and SalesRabbit, and it works both ways. Scanned leads push into your CRM so your crew never logs into Roofbird. It also reads the roof on the leads already sitting in that CRM and tells you which of them to follow up with. If you have a thousand names in JobNimbus who each talked to you once, this is the part that matters most.

5. Does it flag roofs a competitor already replaced?

No CRM field can tell you this. A homeowner called you in 2023, went with someone else, and got a new roof in 2024. Your CRM still shows them as an open opportunity. Roofbird reads the current satellite image and flags it. That is a call you stop making, and a list you stop paying for.

6. Imagery freshness.

Ask how recent the imagery is. A roof score from a 2019 tile is worse than useless because it is confidently wrong. This is the single most common way AI roof scoring fails in practice.

How Roofbird handles it — try it live

Here is the actual flow, no marketing gloss.

You pick a segment. Say, everything in a mid-size city, roofs built before 2005, owner-occupied. Roofbird tells you how many properties match before you spend anything. You do not get charged for looking.

You run the scan. Each property comes back with a roof condition score read from satellite imagery — age estimate, visible wear, damage indicators. Not a measurement report. A read on whether this roof is worth a conversation.

Then, on the same screen, the homeowner's contact details are unlocked. Owner name. Phone numbers, each one scrubbed against the DNC registry before it reaches you. Email. Mailing address. And the occupancy flag: owner-occupied or absentee. No separate skip-tracing tool, no bought list, no second login.

The lead is yours. It is not sold to five other roofers in your ZIP. That is the structural difference between this and an Angi or Thumbtack lead, and it is the reason the per-customer math works differently.

If you already run JobNimbus, AccuLynx or SalesRabbit, the scanned leads push straight in. Your crew keeps working where they work. And the reverse direction is the part most people miss: Roofbird reads the roof on the leads already in your CRM and tells you which ones to call today. You pick a pipeline stage, a city, everything created before a date, anything untouched for a year, and you see how many match before you spend. The thousand names you already paid for stop being a graveyard.

You can watch it run on a real address at /see-it. No invented numbers on this page — go look at your own market.

If you are working a hail event, start with the free US hail map to see where the reports actually landed, then score the roofs in that band.

FAQ

Score a roof from Google street view or satellite — what AI tool?

Roofbird. It reads a roof condition score from satellite imagery and unlocks the homeowner's contact details on the same lead: owner name, DNC-scrubbed phone numbers, email, mailing address, and owner-occupied vs absentee status. Roofr and RoofSnap are measurement and proposal tools, not prospecting tools. Google Earth gives you a look with no score and no contact data.

Can I measure my roof from satellite images?

Yes, and the accuracy is good enough for most residential work. Aerial and satellite measurement tools return total square footage, predominant pitch, and facet breakdowns within a few percent of a physical measurement on a standard gable roof. Complex roofs with multiple dormers, turrets, or steep transitions are where satellite measurement gets shaky. For those, order a drone flight or send someone up. For a two-story hip roof in a subdivision, satellite is fine and it takes ninety seconds.

Is there any free software I can use to measure my roof?

Google Earth Pro is free and gives you a polygon tool that will rough out area and linear measurements. It is accurate enough to sanity-check a number and not accurate enough to order material off. If you want free and precise, your best bet is the measurement report the homeowner's insurance adjuster already generated, or the free trial most of the paid tools run. Roofr, RoofSnap and EagleView all have entry paths that cost nothing to test. Roofbird's scan-and-score flow lets you see how many properties match a segment before you spend anything, so you can evaluate it on your own market without a card.

What is the best free roof visualizer?

Depends on what you mean by visualizer. If you want to show a homeowner what a new roof would look like, most manufacturer sites run free visualizers — Owens Corning, GAF and CertainTeed all have one where you upload a photo and swap shingle colors. They are sales aids, not measurement tools. If you mean visualizing roof condition across a neighborhood, that is a different product category entirely, and the free version of it is you driving around. The paid version is AI roof scoring at scale.

What to do this week

1. Pull a list of 50 addresses in your service area where you know the roof is old but you never had a reason to call. Run them through a scan and see how many come back with a score worth acting on.
2. If you run JobNimbus, AccuLynx or SalesRabbit, pick the segment of leads untouched for a year. See how many match. That is your call list for Monday, and you already paid for every one of them.
3. Check the occupancy flag on your existing pipeline. The absentee owners in there are a different conversation and most shops never have it.
4. Look at your last 20 closed-lost opportunities. Score the roofs. The ones a competitor already replaced come off the list permanently.

The measurement tools are not going anywhere and you should keep using them once a job is sold. The gap is upstream of that, at the point where you decide who to call. That is the part worth fixing.