All services of KrackNet can be used not only via the web but also through APIs. If you are a Python developer, you might prefer the API over the web method. Using API allows you to automate all task execution processes and integrate KrackNet analysis into your workflow. The KrackNet Client we provide is an open-source project and can be easily installed. If you want to add useful features, you can contribute to this project. The workflow for using the API is as follows: Generate an API Key on the web. Install the KrackNet Client. Apply the generated API Key. If necessary, load the Task Configuration tuned on the web. Perform road analysis/anonymization tasks. Here is code snippet to anlayze cracks in dash cam image. from kracknet import DashCamImageAnalyzer dca = DashCamImageAnalyzer () dca.options.road_length_m = 5.0 prediction = dca.predict ('mydashcam.jpg') prediction.plot (show_label = True) To see how to use the KrackNet Client, refer to the code samples executed using the Client in this Jupyter Notebook.