The generation of 3D indoor scenes has implications for various fields, from virtual reality (VR) via video games to architecture. This undertaking is by no means trivial, as it consists of several components, such as floor plans, walls, doors, windows, and furniture objects. The visual appeal of the generated scenes of the 3D apartment is contingent upon the quality of the utilized 3D model for furniture objects and the naturalness of their positions, orientations, and inter-object relationships, which can significantly impact user experience and engagement. To address this challenge, numerous tools have been developed to facilitate the generation of 3D indoor scenes, employing diverse generation methods to achieve this objective. This paper presents a novel tool that uses various artificial intelligence (AI) models to generate 3D-furnished interiors that can be easily customized and interacted with in VR applications, e.g., based on case file descriptions. The tool enables user-driven customization of apartments based on textual descriptions and numerous parameters. To assess the usability of the generated 3D apartments, a range of metrics is used to evaluate the tool’s performance compared to manually designed 3D apartments. The results show that the presented generation tool achieves results comparable to those of human-designed apartments.