Blur API Reference
Use the Plate Recognizer Blur API to blur license plates and faces in images. Access Cloud and On-Premises endpoints for accurate plate and face detection.
Use the Plate Recognizer Blur API to blur license plates and faces in images. Access Cloud and On-Premises endpoints for accurate plate and face detection.
Configuration settings for Blur. This explains the parameters required for setting up Blur using the CLI and Server options.
Use our API to access our OCR endpoints, which can extract text identifiers such as VIN, trailer IDs, odometers, and shipping container information from images.
Configure Shipping Container Images On-premises with REST parameters for detection score, OCR score, camera ID, timestamps, and custom text formats.
Configure and query the Plate Recognizer USDOT OCR API. Learn how to tune inference accuracy using detection scores, OCR thresholds, and config options.
Add, import, export, and remove vehicle data in ParkPow using single entry, CSV/XLS spreadsheets, or the ParkPow API.
Process video files with Plate Recognizer PeopleTracker by specifying a video filename or using the File Upload API to submit videos without restarting.
Use the Shipping Container Cloud API to extract container ID data from images with a single REST call—no on-premises setup required.
Use the Plate Recognizer USDOT OCR Cloud API to extract USDOT numbers from images. Authenticate with your API token and start recognizing in minutes.
Get started with Plate Recognizer USDOT OCR—a robust API for extracting USDOT numbers from truck images. Choose between Cloud and On-premises deployment.
Use our API to access VisionAlert endpoints for creating camera monitoring logs, retrieving cameras, viewing logs, and managing anomaly alerts.
Complete guide on USDOT OCR API response format and webhook configuration. Learn about response structure, confidence scores, and webhook setup.
Set up webhooks for Shipping Container Images On-premises to receive real-time HTTP POST notifications for each recognition event with full response details.