The OpenALPR CarCheck API analyzes vehicle images and returns license plate text, vehicle make, model, year, body type, and color in JSON. Images can be sent as multipart upload, raw bytes, or by remote URL, and results include per-character confidence scores plus bounding boxes for each detected plate. The service runs in the cloud so agents do not have to manage their own ALPR models. A secret key passed as a query parameter is required on every recognition call.
The OpenALPR CarCheck API reads license plates and vehicle details from images of cars, returning the plate text along with candidate alternatives and confidence scores. Images can be sent as an upload, as raw bytes, or by URL, and an optional flag adds vehicle make, model, color, and body-type recognition on top of the plate read. A country parameter tunes the recognizer to regional plate formats, and a configuration endpoint reports what the service supports. Developers building parking, tolling, security, and fleet applications use it to turn a camera frame into structured plate and vehicle data.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fopenalpr.com" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fopenalpr.com" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
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