> For the complete documentation index, see [llms.txt](https://docs.rekor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rekor.ai/scout/getting-started/additional-alpr-and-vehicle-recognition-products.md).

# Additional ALPR and Vehicle Recognition Products

Rekor offers a suite of Automatic License Plate and Vehicle Recognition solutions. The primary software library is written in C++ with bindings in C#, Java, Node.js, and Python. The library analyzes images and video streams to identify license plates and vehicles. Data output is a list of vehicle characteristics and the text representation of any license plate characters detected.

The software can be used in many different ways. For example, with Rekor's Automatic License Plate Recognition solutions, you can:

1. Recognize license plates and vehicles from live camera streams. The results are [browsable, searchable, and can trigger alerts](/scout/web-server/overview.md). The data repository can be accessed in the [cloud](/scout/web-server/cloud.md) or stored entirely [on-premises](/scout/web-server/self-hosted.md).
2. Recognize license plates and vehicles from live camera streams and send the results to your application using [Rekor Scout's REST API](/scout/web-server/rest-api.md).
3. Analyze still images for license plates and vehicle information such as make, model, and color using the [Rekor CarCheck® API](/developers/carcheck/rekor-carcheck-r-overview.md).
4. Integrate license plate and vehicle recognition into your application directly in code (C/C++, C#, VB.NET, Java, Python, Node.js) using our [Vehicle Recognition SDK](/developers/vehicle-recognition-sdk/vehicle-recognition-sdk-overview.md).

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