License Number
Read the plate number from a submitted still image and return it as structured data for downstream workflows.
The License Plate Recognition API extracts plate numbers, jurisdiction, country, and location metadata from vehicle images.
It is designed for parking, access control, auction, security, traffic, and inventory workflows that need automated plate capture from still images.
Convert vehicle images into structured plate information.
Read the plate number from a submitted still image and return it as structured data for downstream workflows.
Return the recognized state or province and country where available, supporting US and Canadian plate patterns.
Provide plate region coordinates so applications can highlight, crop, blur, review, or audit the recognized plate area.
Use LPR behind a trusted server-side application with secure token handling.
Upload a still image containing a visible license plate.
Your backend submits the image with a valid bearer token.
Receive license number, region, country, and bounding location.
Use the result for parking, access, inventory, traffic, or audit workflows.
LPR is a multi-stage image recognition process.
Find and isolate the license plate region within the submitted image.
Segment and classify individual plate characters while handling close-character ambiguity such as B/8, O/0, and I/1.
Use US and Canadian plate-format knowledge to improve recognition quality where regional patterns are available.
Recognition quality depends heavily on the submitted image.
Plate fonts, state/province designs, stickers, dirt, reflections, and custom backgrounds can affect accuracy. Applications should allow review when confidence or image quality is uncertain.
LPR can support multiple vehicle-facing workflows.
Automate entry and exit workflows for parking lots, secured areas, and controlled sites.
Support traffic management, monitoring, and security review scenarios where plate capture is required.
Assist vehicle inventory, auction listing, review, and automatic plate blurring workflows.
Sample image and structured recognition output.
{
"license_number": "BVRX578",
"region": "Ontario",
"country": "Canada",
"left": 45,
"top": 57,
"width": 305,
"height": 25
}
<LPR> <License_Number>BVRX578</License_Number> <Region>Ontario</Region> <Country>Canada</Country> <Left>45</Left> <Top>57</Top> <Width>305</Width> <Height>25</Height> </LPR>
{
"license_number": "800002",
"region": "Washington DC",
"country": "USA",
"left": 336,
"top": 258,
"width": 165,
"height": 27
}
<LPR> <License_Number>800002</License_Number> <Region>Washington DC</Region> <Country>USA</Country> <Left>336</Left> <Top>258</Top> <Width>165</Width> <Height>27</Height> </LPR>
{
"license_number": "ILUVNY",
"region": "New York",
"country": "USA",
"left": 640,
"top": 678,
"width": 198,
"height": 78
}
<LPR> <License_Number>ILUVNY</License_Number> <Region>New York</Region> <Country>USA</Country> <Left>640</Left> <Top>678</Top> <Width>198</Width> <Height>78</Height> </LPR>
Submit a sample image and inspect the recognized plate number, region, country, and location metadata.