Read number plates from an image and inspect returned detections, confidence, and current-month usage. Ask your connected AI assistant to explain the results or carry out the specified operation.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Use a public image URL and summarize returned plate detections.
/oo Plate Recognizer: Read plates from image [public image URL] using regions [region codes], then show detections and confidence without guessing missing characters.
Read usage and reset metadata before more recognition calls.
/oo Plate Recognizer: Get Plate Recognizer Snapshot Cloud statistics and explain current-month usage and reset information.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a Plate Recognizer Snapshot Cloud API token.
Connect Plate Recognizer →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Plate Recognizer connects supported service operations to your AI assistant. Read number plates from an image and inspect returned detections, confidence, and current-month usage.
Recognize one image with region and optional vehicle-detail settings.
Read current-month Snapshot Cloud statistics.
Read number plates from one image by calling Plate Recognizer Snapshot Cloud and returning normalized detections.
Leina 
Wanta 
platerecognizer.read_number_plates Retrieve current-month Plate Recognizer Snapshot Cloud usage and reset information.
platerecognizer.get_statistics No matching tools.
Use uploadUrl for a reachable image URL; uploadBase64 is also supported when needed.
Yes. Supply region codes through regions.
No. Review returned confidence and the source image, especially for unclear characters.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.