License Plate Recognition API - Platebber (also known as LPTR API or ALPTR API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), also some settings as optional language code (among 60 supported languages), optional crop photo(s) of registration plates (Yes/No) and returns a JSON string which contains plate(s) text, confidence score, timestamp, vertices for bounding boxes of license plates, base64 encoded string(s) of crop photo(s) (if set to Yes as input). Of course, there are some limitations in order to get a higher accuracy. We recommend properly exposed, unobstructed JPEG photos at 1920x1080 (full HD resolution) where ratio between height of the license plate and height of entire picture should be at least 1:15. For ratios like 1:16, 1:17, 1:18 and so on the accuracy is lower and the AI algorithm may not see and read the license plate and the number on the registration plate. We do not store pictures. Also, the quality and the angles of the LPR camera are very important and it contribute to a higher reading accuracy. It should have varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.
Allthough this Automatic Plate Recognition API (currently we do not offer a license plate recognition sdk) is intended for software development and therefore developers, we have also here an license plate recognition online application that may be used to check the input and output JSONs of the API. The necessary steps are written below, basically for this real time license plate recognition API you send an authorized POST request in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.
This Number Plate Recognition API is useful for a large number of domains like: parking, traffic contorization, check points, private domains, borders, vignetting etc.You own the commercial copyright of calling the API with no additional fee meaning you may use it in your own apps for sale.