Automotive marketplaces depend on accurate, high-quality vehicle imagery. Our AI verifies listing photos, detects potential fraud indicators, assesses image quality, and ensures your platform maintains professional standards for car buyers and sellers.
Try Free DemoVehicle purchases are significant investments. Buyers rely on listing photos to assess condition, verify details, and make informed decisions. Fraudulent listings with stolen photos, stock images, or misleading imagery erode marketplace trust and can lead to costly scams.
Our vehicle photo moderation protects your marketplace by verifying images actually show vehicles, detecting stock photos and duplicates, assessing image quality, and identifying potential fraud indicators like mismatched VIN plates or digitally altered damage.
Build buyer confidence with verified, quality vehicle imagery.
Confirm images contain actual vehicles and identify vehicle types: cars, trucks, motorcycles, boats, RVs, etc.
Identify photo angles: exterior front/back/side, interior, dashboard, engine bay, undercarriage, etc.
Identify manufacturer stock photos and images reused across multiple listings.
Flag potential fraud signals like mismatched plates, digitally removed damage, or inconsistent backgrounds.
Detect license plates for optional blurring to protect seller privacy.
Evaluate photo quality including lighting, resolution, focus, and professional presentation.
Screen vehicle listings on platforms like CarGurus, AutoTrader, and Cars.com for quality and fraud.
Ensure dealership photos meet consistent quality standards across inventory listings.
Verify auction vehicle photos accurately represent condition for wholesale buyers.
Screen vehicle damage photos submitted for insurance claims for authenticity.
Document vehicle condition photos for rental check-in/check-out and fleet management.
Extend vehicle photo moderation to motorcycles, boats, RVs, and other vehicle types.
Analyze vehicle photos for quality, fraud indicators, and listing compliance.
# Python - Vehicle photo moderation import requests def moderate_vehicle_photo(image_url, api_key, listing_id): response = requests.post( "https://api.imagemoderationapi.com/v1/moderate", headers={"Authorization": f"Bearer {api_key}"}, json={ "image_url": image_url, "models": ["vehicle", "quality", "duplicate", "nsfw"], "options": { "detect_angle": True, "detect_stock": True, "detect_license_plate": True, "listing_id": listing_id } } ) result = response.json() # Validate vehicle content if not result["vehicle"]["is_vehicle"]: return {"action": "reject", "reason": "Not a vehicle image"} if result["duplicate"]["is_stock"]: return {"action": "flag", "reason": "Stock photo detected"} return { "action": "allow", "vehicle_type": result["vehicle"]["type"], "angle": result["vehicle"]["angle"] }
We can identify common manipulation patterns like digitally removed damage, cloned backgrounds, and lighting inconsistencies that suggest photo editing.
We maintain a database of manufacturer stock photos and use image fingerprinting to detect reused images across multiple listings.
Yes. We recognize cars, trucks, SUVs, vans, motorcycles, boats, RVs, ATVs, and other vehicle categories.
Our OCR can extract visible VIN numbers from dashboard or door jamb photos for verification against listing data.
Build marketplace trust with AI-powered photo verification.
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