The article introduces significant improvements in genotype imputation methods and a web-based service that enhances user experience and computational efficiency. Genotype imputation is crucial for genetic association studies, increasing power and facilitating meta-analysis. Current tools require high-performance computing clusters and large reference panels, which are computationally demanding. The authors present new algorithms that reduce computational requirements by over an order of magnitude without compromising accuracy. These algorithms leverage local similarities between sequenced haplotypes, improving efficiency, especially for rare and low-frequency variants. The new web-based service, hosted on a cloud platform, simplifies access to large reference panels and streamlines the imputation process, making it more accessible to researchers. The service supports reference panels with hundreds of thousands of haplotypes and includes features like quality checks, phased data, and encrypted results. The article also discusses the computational complexity and optimal allocation of genomic segments, as well as the efficiency of the m3vcf file format for storing large reference panels. Overall, the improvements in imputation methods and the user-friendly service aim to enhance the practicality and scalability of genotype imputation in large-scale genetic studies.The article introduces significant improvements in genotype imputation methods and a web-based service that enhances user experience and computational efficiency. Genotype imputation is crucial for genetic association studies, increasing power and facilitating meta-analysis. Current tools require high-performance computing clusters and large reference panels, which are computationally demanding. The authors present new algorithms that reduce computational requirements by over an order of magnitude without compromising accuracy. These algorithms leverage local similarities between sequenced haplotypes, improving efficiency, especially for rare and low-frequency variants. The new web-based service, hosted on a cloud platform, simplifies access to large reference panels and streamlines the imputation process, making it more accessible to researchers. The service supports reference panels with hundreds of thousands of haplotypes and includes features like quality checks, phased data, and encrypted results. The article also discusses the computational complexity and optimal allocation of genomic segments, as well as the efficiency of the m3vcf file format for storing large reference panels. Overall, the improvements in imputation methods and the user-friendly service aim to enhance the practicality and scalability of genotype imputation in large-scale genetic studies.