In the current scenario, mostly the data are stored in digital media. Managing the storage and security of huge volume of data is emerging as a significant challenge for data science researchers and engineers. As data is considered as more costly and powerful than anything else, so during damage or loss of data thousands of dollars are being invested for data recovery. File caving is a technique used for data recovery from the file without the any contextual information when the storage media is formatted or file system got damaged. In this study, we have tried to describe the various types of file caving techniques and the tools used for file caving, along with their limitations and the categories of files which are supported along with the scenario for such recovery.