StereoCrafter is an innovative framework that employs foundational models as priors, utilizing depth estimation and stereo video reconstruction techniques to transform 2D videos into immersive stereo 3D experiences. This technology overcomes the limitations of traditional methods, enhancing the high-fidelity generation performance required by display devices. Key advantages of StereoCrafter include its ability to process video inputs of varying lengths and resolutions, as well as optimizing video processing through autoregressive strategies and chunk processing. Additionally, StereoCrafter has developed complex data processing workflows to reconstruct large-scale, high-quality datasets that support the training process. This framework provides practical solutions for creating immersive content for 3D devices such as Apple Vision Pro and 3D monitors, potentially revolutionizing how we experience digital media.