graph-vl is an innovative tool for identity document verification that leverages Machine Learning and GraphQL technology. It offers a streamlined process for verifying identity documents using advanced algorithms and data processing techniques. With graph-vl, users can easily integrate identity verification functionality into their applications and workflows. By harnessing the power of Machine Learning, graph-vl provides accurate and efficient verification results, enhancing security and trust in digital transactions. Written primarily in Python and compatible with Docker and Kubernetes (K8S), graph-vl ensures flexibility and scalability for deployment in various environments.
