> 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/developers/carcheck/rekor-carcheck-r-overview.md). # Rekor CarCheck® Overview [Rekor CarCheck®](https://rekor.ai/developers/carcheck) is a cutting-edge web-based API service that combines Automatic License Plate Recognition (ALPR) and vehicle recognition technologies. It allows users to analyze still images of vehicles, providing essential information such as plate number, state of issuance, vehicle make, model, color, and orientation. This document outlines the key features, integration methods, and primary regions supported by Rekor CarCheck®. {% embed url="" %} ## API Integration Rekor CarCheck® offers [seamless integration](/developers/carcheck/integration.md) through a REST-based API. Users can make API calls using any programming language on various operating systems, ensuring flexibility and compatibility with diverse tech stacks. The service provides rapid responses, delivering detailed vehicle insights within seconds of making the API call. ### Making API Calls Users can make API calls effortlessly, retrieving accurate vehicle data by integrating Rekor CarCheck® into their applications. The service’s user-friendly design enables developers to include or exclude specific vehicle variable data from the JSON results, tailoring the output to meet the unique requirements of their projects. ## Scalability and Customization Rekor CarCheck® empowers businesses to adapt effortlessly to varying demands. Users can self-serve by [creating an account](/developers/carcheck/create-an-account.md), [selecting a plan](/developers/carcheck/create-an-account.md#subscription-plans), and scaling the number of API credits according to their specific needs as they grow, ensuring optimal performance and efficiency. The service's customization options enable users to fine-tune the results, ensuring that the information retrieved aligns precisely with their requirements. ## Specialized Training Data Rekor CarCheck® boasts specialized training data for numerous plate styles. Even if a user's country is not explicitly listed, high accuracy rates can still be achieved by selecting a country with plates resembling those in the user's region. This flexibility ensures reliable performance and accurate results regardless of the location. ## Primary Regions Supported Rekor CarCheck® [supports a wide array of regions globally](/scout/getting-started/countries-and-regions-supported.md), including but not limited to: * USA * Europe * Canada * Brazil * Japan * China * Australia * Mexico * UAE * Indonesia * Saudi Arabia * India * South Korea * Thailand * Argentina * New Zealand * Great Britain * South Africa ...and more. Users can benefit from CarCheck's robust capabilities across these regions, ensuring comprehensive coverage for their license plate recognition and vehicle identification needs. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.rekor.ai/developers/carcheck/rekor-carcheck-r-overview.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.