Similarity for Mac
Similarity is a practical and reliable Mac OS X application specially designed for music lovers that want to keep their audio library in perfect shape.
Improve the quality of your music and photo collection
With Similarity’s help you can effortlessly clean your music collection and get rid of low-quality files, and remove duplicates items.
On top of that, Similarity is also capable to process images and, as a result, you can regain disk space by removing duplicates.
Although Similarity’s interface needs some design upgrades, it proved to be very intuitive and easy-to-use.
The top toolbar helps you analyze audio files and scan for duplicates, check the audio and image results and perform in-depth audio analysis.
Effortlessly find and remove duplicates
Similarity quickly scans your music collection and displays all found duplicates based on the file comparison performed with the help of the “acoustic fingerprint” technology designed to analyze the actual content of the file in addition file metadata.
What is more, the comparison process is not narrowed by the file format, Similarity is capable to find duplicate songs regardless of their file format. Moreover, Similarity comes with advanced quality control functions that enable you to remove low-bitrate and badly remastered compositions.
Similarity automatically analyzes and calculates a quality score based on numerous technical parameters of the track, such as frequency, bitrate, amplitude cut value, amplitude maximum and average values and other related data.
Generate spectograms and sonograms with just a few clicks of a mouse button
In addition to above mentioned tools a features, Similarity also features a built-in tag editor, a sonogram analyzer, a spectrum analyzer, automatic tag converter, acceleration of computing with OpenCl technology and more.
All results lists can be easily customized to include or exclude information for the analyzed items. Consequently, you can display the track bitrate, sample rate, channels, frequency, tags, as well as the generated spectogram.
More experienced users have the option to tweak the audio and image comparison methods and adjust the importance of different measurements.