See how we compare with real vehicle images. Not convinced?
Take us for a free test drive.
Upload an image (up to 3MB) and we’ll decode the license plate.
When benchmarked against Adaptive Recognition (ARH), our Plate Recognizer ALPR offers higher ALPR accuracy at a lower cost.
We take pride in the results here but remain humble. Our focus continues to be on making ALPR as best as it can be, with engine updates every 3-6 weeks.
For more details on our ALPR, please see our full Benchmarking Results.
Sure, we are in business to make money, but that doesn’t mean we need to take advantage of you to succeed.*
We took some sample images and ran them in both engines. See our detailed assessment below.*
We view ALPR as mission-critical. Connect with us right away to get things going fast.
We know that cost is important for any technology spend. Whether you are looking to deploy LPR for one site or bundling our software into your solution, we’re here to make this a win-win. See our cost analysis below is for Plate Recognizer Snapshot and ARH CarmenCloud.*
In a direct comparison of Plate Recognizer vs Adaptive Recognition (ARH), our license plate recognition software demonstrated higher accuracy across a wide range of real-world conditions. This includes challenging scenarios such as low-light and night-time images, steep or off-center angles, snow or glare, tinted plates, stacked characters, and motion blur.
Click on any image to expand, and we encourage you to run your own tests to evaluate ALPR accuracy firsthand.*
We pride ourselves on awesome support because we know how mission-critical ALPR is. When needed, our developers engage directly to help you resolve the issues at hand. And, we’re very open to seeking your input into our roadmap so we can grow together.
While this topic of Customer Support is a tough one to compare, we recommend you contact Plate Recognizer and ARH to see for yourself.
Our algo handles plates that are blurry, dark, angled, with double-stack characters, and more.
Get vehicle region, make, model, color, classification; Webhooks, Dashboard, and more!
Both Snapshot and Stream can run on-premise without Internet access. We have a Cloud version too!
Snapshot has an inference speed of 50-100 ms and Stream can process 4 cameras at once on a mid-range CPU.
Our ALPR engine supports over 90 countries and is tuned to your specific region.
The Plate Recognizer team has been second to none as we developed our product. They are our partners for the long term!
Plate Rec is highly responsive to our business and technical needs.
Plate Rec ALPR is powerful and accurate. We are thankful for a fruitful partnership.
The Plate Rec team is always there to support us whenever we need it.
We selected Plate Rec after some rigorous benchmarking — and never looked back!
Plate Rec is committed to our success and is super-easy to work with!
Get a Free Trial of Snapshot or Stream! See our Pricing plans.
USA
India
UK
Turkey
Argentina
Canada
Brazil
Australia
Singapore
Mexico
Europe
Jordan
New Zealand
Indonesia
South Africa* DISCLAIMERS. Cost Comparison analysis is based on published website pricing as of October 26, 2025. Since ARH provides other products (some with hardware included), we only analyzed CarmenCloud prices. Accuracy Comparison analysis is based on the latest versions of ALPR software (Snapshot Cloud and CarmenCloud) as of October 26, 2025. Images were randomly selected across a variety of countries and are not intended to reflect the actual images used for testing by customers. For details on the methodology on Angle, Blur Distance, and Lightness Level, please refer to the Methodology section of ALPR Results. Plate Recognizer does not claim to have a better ALPR engine, a cheaper ALPR software or better customer support compared with any ALPR software vendor. The analysis on this page is for illustration purposes only. We encourage all customers to perform their own tests in the areas of ALPR costs, accuracy, and customer support.
© 2026 Plate Recognizer, a subsidiary of ParkPow, Inc. All rights reserved.
Made with ❤ from Silicon Valley & Paris.