High recognition quality
The recognition algorithm is verified and maintained through extensive internal validation tests.
Local, offline-capable ALPR/ANPR runtime with REST API for parking, access control, industry, edge devices and proprietary software products.

Choose an image to start the demo.
Built for production integrations in
CAR-READER®-DLE combines high recognition quality with fast processing times and flexible operating modes. For specific projects, performance can be evaluated using the project’s own image database and on the intended target hardware.
The recognition algorithm is verified and maintained through extensive internal validation tests.
The runtime is optimized for local CPUs or GPUs and edge systems and does not require cloud or internet processing.
Automated, international license plates, parking lot, and multiple license plate scenarios are available for various applications.
Prospective customers can first evaluate the solution online and then test it using their own images, cameras, and targeting systems.
Note: Internal benchmark tests are intended for technical classification purposes and do not guarantee specific results in individual use. Actual performance depends on factors such as hardware, image quality, camera position, license plate format, and operating environment.
CAR-READER-DLE adds license plate recognition to existing products and projects. Your system keeps the application logic while the runtime provides local recognition through a clearly defined API.
Language- and framework-independent integration into existing applications, portals, appliances and controllers.
Production image processing inside your own infrastructure, without mandatory cloud processing.
Recognize multiple visible plates in overview images, including small-plate tile scanning for distant vehicles.
Customer packages for Windows, Linux x64 and Raspberry Pi or Linux ARM64.
The local API supports single-image analysis, batch processing, multi-plate recognition, health checks, runtime and license status, and support packages.
View REST APIPOST /api/single
Content-Type: multipart/form-data
{
"ok": true,
"text": "MAB1234",
"formatted_text": "M-AB1234",
"confidence": 0.9945
}The runtime integrates into existing workflows without prescribing the surrounding application.
Parking facilities, barriers, allowlists, ticketless parking and controlled entry and exit.
Yard management, inbound logistics, plant traffic and automated documentation workflows.
Local edge servers, Raspberry Pi, camera-adjacent systems, RTSP streams and ROI processing.
Portals, fleet solutions, video analytics, appliances and proprietary commercial software products.
Upload your own sample images and evaluate recognition directly in the browser.
Open demoClarify camera environment, platform, volume, API workflow and OEM requirements.
Describe projectReceive the appropriate customer package, licensing and technical documentation for the target platform.
View datasheetYes. The online demo provides a quick test with your own images. A complete demo can cover production-oriented RTSP, ROI, batch and OEM scenarios.
Through a local REST API. The runtime can be called from Delphi, C#, Java, Python, web applications and other systems.
Windows, Linux x64 and Linux ARM64 including Raspberry Pi. The concrete delivery is aligned with the project.
Licensing is aligned with the target platform, rollout, integration scope and required support.
Briefly describe the target platform, camera environment and required workflow. We will follow up regarding technical evaluation, demo and licensing.