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ANPR.software
AI license plate recognition built for the Middle East
10 followers
AI license plate recognition built for the Middle East
10 followers
License Plate Recognition API for GCC countries - UAE, Saudi Arabia, Qatar, Kuwait, Bahrain & Oman. Custom-trained AI with 99%+ accuracy. Start free with 150 calls/month.
Hey Product Hunt! 👋
I'm Abzal, founder of ANPR.Software. I've spent 10+ years building SaaS products in the UAE, and this one came from a real pain point.
Working with Dubai parking management companies, I realized that global license plate recognition tools just don't work well here. UAE alone has 7 different plate formats across emirates, some plates has both Arabic and English text (Saudi Arabia especially), and plates are color-coded by vehicle category. Most ANPR providers treat this as an edge case - for us, it's the whole product.
We trained our YOLO-based models on 260,000+ GCC license plate images covering Dubai, Abu Dhabi, Sharjah, Saudi Arabia, and more. The result is fast, accurate plate recognition and classification that actually understands Middle Eastern plates.
Use cases we're seeing:
📱 App integration - snap a plate photo, get text back in one API call. Perfect for car wash, insurance, loyalty, and delivery apps
🍔 Drive-through - recognize returning customers, surface past orders, enable pay-by-plate
🅿️ Parking - ticketless entry/exit, occupancy tracking, overstay alerts
🏘️ Access control - gated communities, corporate campuses, visitor pre-registration
🚛 Fleet - depot tracking, fuel authorization, delivery verification
🏙️ Smart cities - parking enforcement, emission zones, traffic pattern analysis
We offer a simple REST API so you can integrate plate recognition into your existing systems in minutes - no special hardware needed, works with your current cameras.
Would love your feedback! Happy to answer any questions about ANPR, computer vision, or building SaaS