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Plate Recognizer Snapshot

ALPR that Works

ANPR ALPR License plate recognition cars

Snapshot identifies vehicles with or without a license plate present!  See our full assessment of ALPR results.

ALPR for Vehicles without license plates

Input Parameters

  • Image: Send an image in a variety of formats.
  • Region: Specify the region(s) of interest (e.g. US-CA).
  • Camera: Specify the camera associated with the image.
  • Timestamp: Optional.

Output Parameters

  • Decoded Plate: See license plate(s) decoded.
  • Region of Plate: Get the region code of decoded vehicle (e.g. AU-VIC).
  • Vehicle Type: Know if vehicle is a big truck, bus, motorcycle, pickup truck, sedan, SUV, van, or unknown.
  • Vehicle Make/Model: See make & model from over 9,000 different models.
  • Vehicle Color: Get color of vehicle.
  • Orientation: Know front or rear of vehicle.
  • Additional Candidates: See additional decoded plate possibilities with score.
  • Bounding Box: Get x, y coordinates of box around each plate.

API Cloud

  • Requires Internet connection.
  • Supports images up to 3 MB.
  • Limit of 8 images per second.
  • Runs on Linode Cloud servers in New Jersey, USA.

On-Premise SDK

  • No Internet required, except during set-up.
  • No image file size limitation.
  • No limit on # lookups per second.
  • Runs fast on Windows, Linux, Mac, Jetson, Pi, Zynq, 96Boards, Kubernetes, and more.
  • Operates on a Docker container with REST API.

Snapshot ALPR Architecture

ALPR Automatic License Plate System Architecture
  • Process images from VMS, camera, your app or FTP.
  • Send results via JSON or Webhooks to your system.
  • Forward ALPR results to ParkPow to get alerts, dashboard, etc.
  • Send ALPR results to open/close gate (synchronized with ParkPow).

Click image to enlarge.

Simple REST API for ALPR


Integrate with our ALPR API with a few lines of code on a variety of programming languages: Python, Javascript, Ruby, C#, etc.

Get an easy to use JSON response with the number plate value of the vehicle.

See examples of how to interface with our API on this ALPR Github project. You can call the API on all the files of a directory and analyze the frames of a video.

Get Started

Ways to Deploy Plate Recognizer Snapshot

Camera FTP

Upon vehicle detection, camera sends an image via FTP to Snapshot. Or, get ALPR with Axis and Meraki cameras.

API Integration

Send images to our API Cloud or SDK.
Incorporate ALPR output into your app.
See Sample Plate Rec Code in 8 languages.

Video Mgmt Software

We’re pre-integrated with Blue Iris, Network Optix, Milestone and more! The integrations are cloud-based and/or on-premise.

Happy Customers

Get Fast ALPR Quickly

Get ALPR up and running in under 60 minutes. Free Trial with no Credit Card required!

Get Started
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Basic Online Dashboard

Plate Recognizer ANPR Dashboard Online
  • Get full list of all vehicles decoded.
  • Search for a specific license plate
  • Filter results based on camera, start time, end time, or confidence level.
  • Data stored for 7 days.

Online Dashboard available only for API Cloud customers.

ALPR Dashboard

  • Proactively get alerts when unauthorized vehicle arrives.
  • Enforce parking policies (e.g. visitors park for 3 hours max).
  • Get deep analytics of vehicles entering and exiting.
  • Search plates by time, site, vehicle type, color, make, etc.
  • See full details with Vehicle Tags and Vehicle CRM.
  • Easily import data from other systems.
Learn More
ALPR Dashboard Overview Chart for license plate recognition


Plate Recognizer ANPR License Plate Create Webhooks
  • Easily create webhooks for API Cloud or SDK to “auto-forward” ALPR output.
  • Construct one or multiple webhooks per API Cloud account or SDK license.
Learn More

Detection Zone

  • Mask out areas of the image for engine to ignore.
  • Specify Detection Zone for each camera.
ALPR ANPR Set Detection Zone

License Management

Plate Recognizer ANPR SDK license management tool
  • Easily see all products purchased.
  • Describe each SDK license to keep track of them.
  • See lookup usage for each license.
  • Move license to another machine.
  • Activate or disable a license key.

Supported Devices for Snapshot SDK

  • Windows
  • Linux
  • Mac
  • Raspberry Pi 3 & 4 (32 bit, 64 bit)
  • Nvidia Jetson Nano, TX1, TX2, Xavier NX
  • Rock Pi, Orange Pi
  • LattePanda
  • Xilinx Zynq
  • 96Boards

SDK Software is executed on a Docker Container.

See HW Requirements
ALPR ANPR Linux Windows Jetson Mac

Languages Supported

See Sample Code

Affordable Pricing

Plate Recognizer Snapshot is priced as a subscription fee based on # Lookups per month.

Take advantage of our Free Trial and start today!

See Pricing

Inference Speeds for Snapshot SDK

Inference Speed (ms)Fast ModeRegular Mode
n2-standard-8 (8 vCPUs, 32 GB RAM)2141
n1-standard-4 (4 vCPUs, 15 GB RAM), 1 x NVIDIA Tesla T42444
c2-standard-4 (4 vCPUs, 16 GB RAM)3058
n2-standard-4 (4 vCPUs, 16 GB RAM)3364
Intel Core i7-8550U CPU @ 1.80GHz3355
n1-standard-4 (4 vCPUs, 15 GB RAM)4794
n2-standard-2 (2 vCPUs, 8 GB RAM)58108
e2-standard-2 (2 vCPUs, 8 GB RAM)77145
LattePanda Alpha119170
Nvidia Jetson Nano250300
LattePanda V18751250
Raspberry Pi 3/410001300

* Speeds based on HD Image size (1280 x 720). Fast Mode can be used in situations where vehicle size is at least 10% of image size. Otherwise, Regular Mode is recommended. For details, go to our GitHub page on ALPR Speeds.

Need Help with ALPR?

Let us know and we’d be happy to assist.

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