Visual Intelligence

See damage. Know the cost.

Computer vision trained on 4 million rental property photos. Snap a wall, a carpet, a fixture. The AI flags damage, classifies severity, and returns a localized repair estimate in under three seconds.

0%
Detection accuracy
0s
Avg analysis time
0
Damage classes
$0
Avg dispute saved
Damage analysis sample
DRYWALL_HOLE / 99%

AI assessment

Moderate damage

Materials$45.00
Labor est$180.00
Deduction$225.00
The Loop

From snapshot to security-deposit line item.

Four steps. The AI does the first three so you can spend the fourth doing the rest of your day.

1

Snap a photo

From the move-out walkthrough or a tenant's maintenance request. Phone camera is fine, no fancy lighting required.

2

AI scans

The vision model runs in under 3 seconds, identifying damage type, location, severity, and estimated repair scope from the pixels alone.

3

Local cost returned

Materials and labor priced for your ZIP. Backed by a continuously refreshed corpus of contractor rate data and Home Depot SKU pricing.

4
Logged

Audit-trail attached

Original photo, AI analysis, and final deduction land in the unit's history. Tenant disputes? You have receipts ready in court.

Try It Now

Test the engine on your own photo.

Carpet stain, drywall hole, broken blinds, scratched floor. Upload anything you'd argue about during a move-out walkthrough.

Privacy: Photos uploaded to this public demo are sent to the AI model for analysis and discarded immediately. They are not saved, shared, or used to train any model. Sign in to attach inspections to a real unit history.

Drag and drop a photo

or click to browse your files (max 20MB)

Before vs After

Move-in photos. Move-out photos. Side by side.

Smartlord.ai auto-tags every photo by unit and date. At move-out, the AI compares the same wall, the same carpet, the same bathroom against the move-in baseline. Differences are highlighted automatically. No more "it was already like that."

Drag the slider. See exactly what the AI sees, with damage highlighted on the right.
EXIF-locked timestamps. Every photo cryptographically tied to the date taken. Court-defensible.
Wear-and-tear filter. Normal wear is flagged separately from actionable damage.
MOVE-IN / Apr 1, 2025 Before
MOVE-OUT / Mar 28, 2026 DRYWALL_HOLE CARPET_STAIN SCORCH_MARK After

Drag the slider to compare. 3 issues auto-flagged.

Accuracy

98.4% accurate. Audited quarterly.

The model is benchmarked against a 12,000-image labeled test set every quarter. Underperforming damage classes get retrained. Overall accuracy keeps climbing.

Last audit

Q1 2026, 12,431 images, 98.4% top-1 accuracy

Reviewed by independent contractor estimator panel.

Per-class accuracy on Q1 test set

Drywall hole 99.1%
Broken window 97.8%
Carpet stain 96.3%
Scorch mark 95.0%
Cracked tile 93.4%
Floor scratches 91.2%
Wall scuff 88.0%

Wall scuffs run lower because they overlap heavily with normal wear and tear.

Deposit Disputes

End the awkward security-deposit conversation.

Most deposit disputes go badly because the landlord can't prove the damage was new. With timestamped move-in photos, AI detection, and itemized localized estimates, you walk in with documentation a small-claims judge respects.

Avg dispute saved

$0

Court win rate

0%

Court packet

Move-out documentation

Auto-generated
12 timestamped move-in photos with EXIF Apr 2025
14 timestamped move-out photos Mar 2026
3 damage detections with confidence scores 98%, 96%, 95%
Localized contractor estimates by ZIP $385 total
Wear-and-tear deductions removed 2 items
Itemized state-compliant deduction letter PDF

Stop arguing about damage. Start documenting it.

Photos in. Estimates out. Audit trail attached. The next move-out walkthrough writes itself.

Free to start. No card required. Upgrade anytime.