License Plate Recognition API
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).
If you need a License Plate Blur API which blurs the license plates, use this license plate blur API, PlateBlurer, here: https://gatiosoft.ro/license-plate-blur-api.aspx
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. Please see our example sketches here.
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 the resulted JSON with no additional fee meaning you may use it in your own apps for sale. For using our license plate recognition API and/or APP you must create an account (free of charge, no card required), activate it from your received email, login and then start your TRIAL package with no fees as you can see at our pricing packages.
After you have tested the API and/or APP and you are satisfied, you may buy a paid package. You will always see at your Admin Console page the real resources
consumption in real time, your invoices, you may see/edit/delete your profile or export log consents as GDPR instructed, you may read our FAQs.
License Plate Recognition APP
Photo File
Language Code
Crop Plate
Parameter Name
Parameter Description
root object
This is the root object that contains a list or array of detected license plate(s) in the input photo as described below.
id
This is the id [string] of the detected license plate and it has the value license_plate if the license plate has been detected on the input photo or value Not found if no license plate(s) has been detected.
description
This is the id [string] of the detected license plate and it has the value License plate if the license plate has been detected on the input photo or value Not found if no license plate(s) has been detected.
timestamp
This is the timestamp [string] with format yyyy-MM-dd HH-mm-ss at the moment the API returns the result.
Example: 2020-11-05 22:06:09.
bounding_box_confidence
This is the confidence score [real] with values between 0 and 1 for accuracy of finding
a bounding box surrounding a plate number on the input photo. Example: 0.658953196.
x1
This is the upper left x coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 129. If no plate has been found it's value is 0.
y1
This is the upper left y coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 350. If no plate has been found it's value is 0.
x2
This is the upper right x coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 329. If no plate has been found it's value is 0.
y2
This is the upper right y coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 350. If no plate has been found it's value is 0.
x3
This is the lower right x coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 329. If no plate has been found it's value is 0.
y3
This is the lower right y coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 450. If no plate has been found it's value is 0.
x4
This is the lower left x coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 129. If no plate has been found it's value is 0.
y4
This is the lower left y coordinate [pixels] of the rectangular bounding box surrounding the license plate on the input photo.
Example: 450. If no plate has been found it's value is 0.
plate_text
This is the detected text [string] of license plate. It may has separators "|" for country or other present text sequences, for example this lituanian license plate DGN006|LT|DGN006LT.
If no plate has been found it's value is Not found
base64PlatePhoto
This is a base64 encoded string crop photo of the license plate extracted from the input photo only if it is required by the input parameter plate_output presented above. Otherwise, if required and license plate has been found, it will be an empty string. If no plate has been found it's value is Not found
Platebber Online Video Presentation
License Plate Recognition API, Platebber is in the video presentation below.
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Please choose one of the below pricing packages for start using our License Plate Recognition API and online APP!
Yearly TIER
(15% Discount)
Note: VAT rate may be added or not, function to your country and/or if you are a taxable person or company.