Product Damage Detector: Check Customer Photos for Damage with AI
Upload a photo: the AI says whether the product or its packaging is damaged, lists damage types with probabilities and marks the damaged area on the photo. Ideal for pre-screening return and damage claims.
Photo of the product or parcel
Example photos
Example photos: Meanwell Packaging, CC BY 2.0 (Wikimedia Commons)
Result
The result will appear here.
Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.
Labels
The model scores the probability of each damage type below for every photo. You can extend the damage types for your processes or use it with labels made for you.
- Crushed box
- The outer carton or box is crushed or deformed.
- Torn or opened packaging
- Torn, ripped or punctured packaging (simply being opened does not count as damage).
- Broken or cracked
- The product itself is broken, cracked or shattered.
- Scratched or dented
- Scratches, dents or chips on the product.
- Wet or stained
- Water damage, stains or dirt.
- Broken-off or missing piece
- A piece of the product is visibly broken off or missing.
Where is it used?
Examples of how teams use this model in their daily work.
- 01
Pre-screening return and damage claims
Assess the photo in a "it arrived damaged" claim instantly: approve clear cases automatically and send doubtful ones to review.
- 02
Carrier damage reports
Report damage types by carrier and warehouse to improve packaging and handling.
- 03
Marketplace review photos
Detect damage in photos attached to reviews and spot logistics issues that hurt your rating early.
- 04
Warehouse intake checks
Check supplier deliveries by photo at intake and record damaged batches.
Use this model in your own system
Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].
Frequently asked questions
- Is this tool free?
- Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
- Which languages does it support?
- It understands multilingual text, Turkish and English first; results are shown in your interface language.
- Is my text stored?
- No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
- Can I analyse in bulk?
- The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.
Other tools
All tools- Logo DetectionNewFind your brand's logo in a photo
- Shelf AuditNewOut-of-stock gaps and tidiness from a shelf photo
- Food Presentation CheckNewForeign objects, raw/burnt food, plating, portions
- Vehicle Damage DetectionNewDents, scratches, broken glass and lights
- Venue Cleanliness CheckNewDirty floors, overflowing bins, clutter
- Fire and Smoke DetectionNewFire, flames and smoke in a photo
- Return vs Listing MatchNewIs the returned item the one in the listing?
- Vehicle Make and Model RecognitionNewBody type, make, model and colour from a photo
Want to analyse thousands of reviews automatically?
BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.
Request a demo