Audio fingerprint is the digital fingerprint that can help to identify the audio content. The most usage of audio fingerprint is to detect the illegal contents to support the artists to protect their copyrights. Nowadays, there are millions of audio and video contents uploaded to internet, so the searching speed with the big database size is a big problem for all systems. In this paper, we propose a new hierarchy searching system that can detect the meta information for fingerprint in real time by using the advantages of K-modes and Localitive Sensitive Hashing (LSH). With the power of multiple GPGPU devices, we can obtain the meta information for a query within 2 milliseconds for 10 million songs' database.