ANPR.software is an AI-powered License Plate Recognition API specifically designed for GCC countries, offering 99%+ accuracy. It provides custom-trained AI models for UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman license plates.
At a glance
Pricing
Open Source ยท Freemium ยท Paid ยท Usage-based ยท Custom
ANPR.software offers a specialized License Plate Recognition (LPR) API tailored for the unique characteristics of license plates in Gulf Cooperation Council (GCC) countries. Unlike generic ANPR solutions, this API is built from the ground up to handle dual-language plates (Arabic & English), region-specific formats, and diverse plate designs across the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman. It boasts over 99% accuracy and a response time under 200ms, even in challenging conditions like direct sunlight, dust, and dirt. The API supports various plate types including private, commercial, taxi, and government vehicles, and provides region classification. It's designed for easy integration with a simple 3-step process and offers a free tier with 150 API calls per month.
Best used for
Ideal for developers and startup founders who need to implement highly accurate license plate recognition for GCC countries. This tool is perfect for building parking management systems, traffic monitoring solutions, and security applications. Especially valuable for projects requiring robust performance in challenging environmental conditions and support for diverse regional plate formats.
Common actions
recognize license plates
integrate ANPR API
detect emergency vehicles
process vehicle images
artificial intelligenceSaaSDeveloper Tools
Capabilities
Key features
GCC license plate recognition
99%+ accuracy
Dual-language plate support
Region classification
Emergency vehicle detection
Fast API response
Target Audience
developerstartup founder
Integrations
Not yet documented
Pricing & Plans
Open Source ยท Freemium ยท Paid ยท Usage-based ยท Custom ยท Starting at USD 0.02
Pro: $0.02/request, $100 minimum top up. Free tier with 150 calls/month.