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VinApi
Available on RapidAPI

License Plate Recognition API

Detect license plate numbers from vehicle images and return a clean, machine-readable result optimized for large-scale image workflows.

99.9%
Uptime
Stable
JSON Schema
Complete
Documentation
Included
Support

Detect license plate numbers from vehicle images and return a clean, machine-readable result optimized for large-scale image workflows.

High-volume license plate recognition API that detects plate numbers from vehicle images and returns the plate, country, and confidence score for large-scale image processing pipelines.

Endpoint

Detects a license plate number from an uploaded image file or an image URL and returns the detected plate, country, and confidence score.

POST /license-plate-recognition
Key Features

Built for production systems

High-Volume Friendly Output

Designed for continuous image processing with minimal, predictable payloads for logging and analytics.

Stable Schema

Consistent response structure that won't break downstream systems.

Explicit No-Detection Response

Returns code 204 with a clear message instead of silent failures when no plate is detected.

Confidence Score

Confidence score between 0 and 1 included for thresholding and review logic when code is 200.

Minimal Payload

Clean, deterministic success vs no-detection output for automated workflows.

Data returned

code — Detection status (200 = detected, 204 = not detected)number — License plate number (string or null)country — Detected country (string or null)confidence — Confidence score between 0 and 1message — Optional explanatory message

Is this API right for you?

Built for
  • High-volume image ingestion pipelines
  • Fleet, parking, tolling, and access-control systems
  • Insurance and claims platforms processing user-submitted photos
  • Marketplaces normalizing vehicle images into structured data
  • Automated workflows requiring deterministic success vs no-detection output
Not designed for
  • Accessing DMV, registration, or owner data
  • VIN decoding or vehicle detail lookups
  • Ownership or legal validation use cases
  • Surveillance or identity inference beyond plate detection
  • Computer vision use cases requiring bounding boxes or vehicle attributes
Sample Response

See what you get back

Clean, structured JSON. Predictable schema. No surprises.

POST /license-plate-recognition
200 OK
// Plate detected
{
  "code": "200",
  "number": "9JRI205",
  "country": "United States",
  "confidence": 1,
  "message": null
}

// No plate detected
{
  "code": "204",
  "number": null,
  "country": null,
  "confidence": 0,
  "message": "No license plate detected"
}

Why teams choose this API

High-Volume Friendly Output

Designed for continuous image processing so downstream systems can process automatically or safely ignore.

Stable Schema

Consistent response structure that won't break downstream systems.

Explicit No-Detection Response

Use code as the primary decision signal; apply confidence thresholds only when code is 200.

Common use cases

High-volume image ingestion pipelines
Fleet, parking, tolling, and access-control systems
Insurance and claims platforms processing user-submitted photos
Marketplaces normalizing vehicle images into structured data
Automated workflows requiring deterministic success vs no-detection output

Up and running in minutes

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3

Make your first call

Hit the endpoint and get structured JSON back immediately.

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